
This article is an overview on some recent advances in the inverse scattering problems with phaseless data. Based upon our previous studies on the uniqueness issues in phaseless inverse acoustic scattering theory, this survey aims to briefly summarize the relevant rudiments comprising prototypical model problems, major results therein, as well as the rationale behind the basic techniques. We hope to sort out the essential ideas and shed further lights on this intriguing field.
Citation: Deyue Zhang, Yukun Guo. Some recent developments in the unique determinations in phaseless inverse acoustic scattering theory[J]. Electronic Research Archive, 2021, 29(2): 2149-2165. doi: 10.3934/era.2020110
[1] | Deyue Zhang, Yukun Guo . Some recent developments in the unique determinations in phaseless inverse acoustic scattering theory. Electronic Research Archive, 2021, 29(2): 2149-2165. doi: 10.3934/era.2020110 |
[2] | Xinlin Cao, Huaian Diao, Jinhong Li . Some recent progress on inverse scattering problems within general polyhedral geometry. Electronic Research Archive, 2021, 29(1): 1753-1782. doi: 10.3934/era.2020090 |
[3] | Yan Chang, Yukun Guo . Simultaneous recovery of an obstacle and its excitation sources from near-field scattering data. Electronic Research Archive, 2022, 30(4): 1296-1321. doi: 10.3934/era.2022068 |
[4] | Yujie Wang, Enxi Zheng, Wenyan Wang . A hybrid method for the interior inverse scattering problem. Electronic Research Archive, 2023, 31(6): 3322-3342. doi: 10.3934/era.2023168 |
[5] | John Daugherty, Nate Kaduk, Elena Morgan, Dinh-Liem Nguyen, Peyton Snidanko, Trung Truong . On fast reconstruction of periodic structures with partial scattering data. Electronic Research Archive, 2024, 32(11): 6481-6502. doi: 10.3934/era.2024303 |
[6] | Yao Sun, Lijuan He, Bo Chen . Application of neural networks to inverse elastic scattering problems with near-field measurements. Electronic Research Archive, 2023, 31(11): 7000-7020. doi: 10.3934/era.2023355 |
[7] | Weishi Yin, Jiawei Ge, Pinchao Meng, Fuheng Qu . A neural network method for the inverse scattering problem of impenetrable cavities. Electronic Research Archive, 2020, 28(2): 1123-1142. doi: 10.3934/era.2020062 |
[8] | Hyungyeong Jung, Sunghwan Moon . Reconstruction of the initial function from the solution of the fractional wave equation measured in two geometric settings. Electronic Research Archive, 2022, 30(12): 4436-4446. doi: 10.3934/era.2022225 |
[9] | Messoud Efendiev, Vitali Vougalter . Linear and nonlinear non-Fredholm operators and their applications. Electronic Research Archive, 2022, 30(2): 515-534. doi: 10.3934/era.2022027 |
[10] | Shiqi Ma . On recent progress of single-realization recoveries of random Schrödinger systems. Electronic Research Archive, 2021, 29(3): 2391-2415. doi: 10.3934/era.2020121 |
This article is an overview on some recent advances in the inverse scattering problems with phaseless data. Based upon our previous studies on the uniqueness issues in phaseless inverse acoustic scattering theory, this survey aims to briefly summarize the relevant rudiments comprising prototypical model problems, major results therein, as well as the rationale behind the basic techniques. We hope to sort out the essential ideas and shed further lights on this intriguing field.
Inverse scattering problems are fundamental in many scientific and industrial applications. Several exemplary scenarios involve sonar detection, radar sensing, medical imaging and geophysical exploration. Inverse scattering problems are concerned with the detection and identification of unknown targets from the knowledge of associated wave scattering data. In particular, inverse scattering of time-harmonic waves is of great significance. The typical time-harmonic inverse scattering problems are based on complex-valued data comprising phase and intensity/modulus. On the other hand, the phase information may be unavailable or extremely difficult to be detected accurately in practice. Hence, according to the accessibility to phase, the measured data in time-harmonic inverse scattering problems can be classified into two categories: phased/full data and phaseless or intensity-only/modulus-only data. Over the past several decades, the inverse scattering problems with full measured data received a great deal of attentions in the literature (see, e.g. [11, 12, 22] and the references therein). In fact, the phaseless measurements are usually more feasible in practice. Therefore, the phaseless inverse scattering problems have recently been intensively studied mathematically and numerically [1, 2, 4, 31, 32, 49, 57].
Due to the lack of phase information, the phaseless inverse scattering problems are in general very challenging. From the mathematical perspective, the first challenge is the uniqueness: can one uniquely identify the underlying target from the measured phaseless data? To compensate the missing phase and justify the uniqueness, some additional information should be incorporated into the scattering system. There are several strategies for supplementing more quantities, for instance, superposing incident waves and adding artificial reference/interfering objects. Using these techniques, the phaseless inverse scattering problems can be recast as "well-posed" problems in the sense of uniqueness justifications. The uniqueness results for phaseless inverse scattering problems usually rely on the existing uniqueness theorems concerning the phased data. We refer to the monograph [12] as an entry for the vast investigations on the uniqueness issues associated with full data.
Our studies on the uniqueness in phaseless inverse scattering problems are scattered in different papers [44, 50, 52, 55] and thus they are loosely coupled in certain sense. Accordingly, this paper aims to present a unified and consistent framework for the problem formulations, technical treatment and the uniqueness results. We would like to emphasize that the purpose of this short review is mainly to crystallize the major developments that we had participated in, that is, we made no effort to cover all the relevant topics or present a comprehensive investigation on the diverse literature. In fact we only consider the phaseless inverse acoustic scattering problems as models. Nevertheless, it paves the way for many extensions to the cases of electromagnetic and elastic waves, where analogous strategies can be employed but technical details might be more complicated. We refer to the recent survey paper [42] for the phaseless inverse problems for some typical wave equations.
The rest of this paper is arranged as follows. Section 2 is devoted to the reference ball technique for uniquely determining a bounded scatterer from phaseless far-field data. Then in section 3, we present the uniqueness results related to the superposition of exterior point sources and near-field measurements. Finally, the interior problem of imaging the cavity is discussed in section 4.
We present some prototypical inverse acoustic scattering models and the reference ball technique for establishing the uniqueness.
In this subsection, we introduce the acoustic direct and inverse scattering models for an incident plane wave. Let the scatterer
Denote by
Δu+k2u=0in R3∖¯D, | (1) |
Bu=0on ∂D, | (2) |
limr=|x|→∞r(∂us∂r−ikus)=0, | (3) |
where
Bu={uif D is of sound-soft type,∂u∂ν+ikλuif D is of impedance type, | (4) |
where
In contrast to the obstacle scattering problem dealing with an impenetrable scatterer
Δu+k2nu=0in R3, | (5) |
limr=|x|→∞r(∂us∂r−ikus)=0, | (6) |
where the refractive index
The forward scattering problems (1)–(3) and (5)–(6) admit a unique solution (see, e.g., [6, 12, 37]), respectively. Moreover, the scattered wave
us(x;d)=eik|x||x|{u∞(ˆx;d)+O(1|x|)},|x|→∞ |
uniformly in all observation directions
A typical phaseless inverse scattering problem is stated as follows.
Problem 2.1. Given phaseless far field data
(i) Suppose that
(ii) Suppose that
There is a well-known obstruction of Problem 2.1 due to the translation invariance. Specifically, for the shifted domain
u∞Dh(ˆx;d)=eikh⋅(d−ˆx)u∞D(ˆx;d),ˆx∈S2. | (7) |
Hence the location of the scatterer cannot be uniquely determined from the intensity-only far-field data. More notoriously, this intrinsic ambiguity cannot be remedied by simply using finitely many incident waves with different wavenumbers or distinct directions of incidence. Nevertheless, it is still possible to reconstruct the shape without such phase information. In fact, a great number of inversion schemes have been proposed to recover the shape of scatterer from the intensity-only far-field data with a single incident plane wave, see [17, 18, 19, 30, 31, 32]. We also refer to [10, 16] for the relevant numerical investigations.
To compensate the lack of phase and thereby break the translation-invariance obstruction, some supplementing information is required to be incorporated into the scattering system. We made an attempt in [50] to tackle the translation invariance by adding a reference ball in conjunction with the superposition of incident waves. In this subsection, we shall give a brief outline of the reference ball technique for phaseless inverse scattering problems.
Definition 2.1 (Reference ball) For the inverse scattering problem of recovering
(i) The geometrical (location, shape, etc.) and physical properties (boundary conditions, refractive index, etc.) of
(ii) Determination of the target
Clearly, a simplest candidate for the reference object is the reference ball
Due to the nonlinearity of typical inverse scattering problems, one should bear in mind that extracting the contribution of
We also need the following admissible source location.
Definition 2.2 (Admissible source location) Assume that
Then let us consider the superposition of a plane wave
ui(x,d)+vi(x,z)=eikx⋅d+Φ(x,z), | (8) |
where
Φ(x;z)=eik|x−z|4π|x−z| |
is the fundamental solution to the Helmholtz equation.
Let the
Based on Definitions 2.1 and 2.2, we are now in the position to introduce the phaseless datasets.
Definition 2.3 (Far field data with a reference ball) For a fixed wavenumber
DFB1:={|u∞D∪B(ˆx;d0)|:ˆx∈S2},DFB2:={|v∞D∪B(ˆx;z)|:ˆx∈S2, z∈Π},DFB3:={|u∞D∪B(ˆx;d0)+v∞D∪B(ˆx;z)|:ˆx∈S2, z∈Π}. |
The incursion of the reference ball and superposition of incoming waves lead to the following reformulation of phaseless inverse scattering problems:
Problem 2.2 (Inverse obstacle scattering with a reference ball and far-field data). Let
Problem 2.3 (Inverse medium scattering with a reference ball and far-field data). Let
We refer to Figure 1 for an illustration of the geometry setup of Problems 2.2 and 2.3. The following theorem shows the uniqueness results for Problem 2.2 and Problem 2.2, i.e., the scatterer can be uniquely determined from the consolidated phaseless data
Theorem 2.1. [50] Given a fixed
|u∞D1∪B(ˆx;d0)|=|u∞D2∪B(ˆx;d0)|,∀ˆx∈S2,|v∞D1∪B(ˆx;z)|=|v∞D2∪B(ˆx;z)|,∀(ˆx,z)∈S2×Π,|u∞D1∪B(ˆx;d0)+v∞D1∪B(ˆx;z)|=|u∞D2∪B(ˆx;d0)+v∞D2∪B(ˆx;z)|,∀(ˆx,z)∈S2×Π. |
Then we have
(i) If
(ii) If
To resolve non-uniqueness issues, the idea of utilizing the superposition of distinct incident plane waves was proposed in [56], which led to the multi-frequency Newton iteration algorithm [56]. Moreover, by the superposition of two incident plane waves, uniqueness results were established in [46] under some a priori assumptions.
We would like to point out that the idea of adding a reference ball to the scattering system in [50] was motivated by [33] and [38, 39]. Later, the reference ball technique was used in [47] to alleviate the requirement of the a priori assumptions in [46]. Recently, similar strategies of adding reference objects or sources to the scattering system have also been intensively applied to the theoretical analysis and numerical approaches for different models of phaseless inverse scattering problems [15, 13, 20, 21, 51, 53, 14].
Next we will deal with the uniqueness issue concerning the inverse acoustic scattering problems with point excitation sources and associated phaseless near-field measurements. In optics and engineering areas, the phaseless inverse scattering with near-field data is also known as phase retrieval problem [35]. The numerical studies on the inverse scattering problems with phaseless near-field data are intensive (see, e.g., [8, 7, 10, 9, 40, 45]), whereas few theoretical investigations have been made on the uniqueness aspects.
A uniqueness result was established in [25] to the reconstruction of a potential with the phaseless near-field data for point sources on a spherical surface and an interval of frequencies, which was extended to the determination of wave speed in generalized 3-D Helmholtz equation [26]. The uniqueness of a coefficient inverse scattering problem with phaseless near-field data was established in [28]. We also refer to [27, 38, 39] for the inversion algorithms for the inverse medium scattering problems with modulus-only near-field data. The stability analysis for linearized near-field phase retrieval in X-ray phase contrast imaging was given in [36].
In this section, we will be concerned the uniqueness via superposition of incident point sources, which does not rely on any additional reference/interfering scatterer. Toward establishing the uniqueness for exterior inverse scattering problems, superposing certain point sources has the capability of providing more information and overcoming the indispensability of incorporating a reference ball in the previous section. By introducing a general admissible surface/curve, along with the superposition of point sources, we proved that the bounded scatterer (impenetrable obstacle or medium inclusion) and the locally perturbed half-plane (locally rough surface) could be uniquely determined from the phaseless near-field data [52]. The uniqueness can be also established by the superposition of incident point sources and phaseless far-field data, see [44]. For the uniqueness of inverse scattering by locally rough surfaces with phaseless far-field data, we refer to [47]. The crux of our study is the utilization of limited-aperture phaseless near-field data co-produced by the scatterer and point sources. A related study on the electromagnetic case can be found in [48].
The following definition of admissible surfaces is needed.
Definition 3.1 (Admissible surface) An open surface
(i)
(ii)
(iii)
(iv)
For a generic point
Φ(x;z):=eik|x−z|4π|x−z|,x∈R3∖(¯D∪{z}), |
Denote by
v(x;z):=vsD(x;z)+Φ(x;z),x∈R3∖(¯D∪{z}) |
and
v∞(ˆx;z):=v∞D(ˆx;z)+Φ∞(ˆx;z),ˆx∈S2, |
where
For two generic and distinct source points
vi(x;z1,z2):=Φ(x;z1)+Φ(x;z2),x∈R3∖(¯D∪{z1}∪{z2}), |
the superposition of these point sources. Then, by the linearity of direct scattering problem, the near- and far-field co-produced by
v(x;z1,z2):=v(x;z1)+v(x;z2),x∈R3∖(¯D∪{z1}∪{z2}).v∞(ˆx;z1,z2):=v∞(ˆx;z1)+v∞(ˆx;z2),ˆx∈S2. |
We first outline the results for recovering a bounded scatterer from phaseless far-field data. Following [44], we would like to remark that the phaseless data
Definition 3.2 (Far-field datasets) For a fixed wavenumber
DF1:={|v∞(ˆx;z0)|:ˆx∈S2},DF2:={|v∞(ˆx;z)|:ˆx∈S2, z∈Γ},DF3:={|v∞(ˆx;z0)+v∞(ˆx;z)|:ˆx∈S2, z∈Γ}, |
where
The phaseless inverse scattering problems are listed in Problems 3.1 and 3.2. These problems are depicted in Figure 2 as an illustration.
Problem 3.1 (Inverse obstacle scattering with far-field data). Let
Problem 3.2 (Phaseless inverse medium scattering with far-field data). Let
The following theorem tells us that Problem 3.1 (resp. Problem 3.2) admits a unique solution, namely, the geometrical and physical information of the obstacle (resp. the refractive index for the medium) can be uniquely determined from the far-field data triple
Theorem 3.1. [44] For two scatterers
|v∞1(ˆx;z0)|=|v∞2(ˆx;z0)|,∀ˆx∈S2,|v∞1(ˆx;z)|=|v∞2(ˆx;z)|,∀(ˆx,z)∈S2×Γ,|v∞1(ˆx;z0)+v∞1(ˆx;z)|=|v∞2(ˆx;z0)+v∞2(ˆx;z)|,∀(ˆx,z)∈S2×Γ |
for an admissible surface
(i) If
(ii) If
We then talk about the inverse scattering problems for a bounded scatterer with near-field data. Let
Definition 3.3 (Near-field datasets for a bounded scatterer). Assume that
DN1:={|v(x;z0)|:x∈Σ},DN2:={|v(x;z)|:x∈Σ, z∈Γ},DN3:={|v(x;z0)+v(x;z)|:x∈Σ, z∈Γ} |
for a fixed wavenumber
With these configurations, we formulate the phaseless inverse scattering problems as follows.
Problem 3.3 (Inverse obstacle scattering with near-field data). Let
Problem 3.4 (Inverse medium scattering with near-field data). Let
We refer to Figure 3 for an illustration of the geometry setting of Problems 3.3 and 3.4.
Now we present the uniqueness results on phaseless inverse scattering. The following theorem asserts that Problem 3.3 and Problem 3.3 admits a unique solution respectively, namely, the geometrical and physical information of the scatterer boundary or the refractive index for the medium can be simultaneously and uniquely determined from near-field data
Theorem 3.2. [52] Assume that
|v1(x;z0)|=|v2(x;z0)|,∀x∈Σ,|v1(x;z)|=|v2(x;z)|,∀(x,z)∈Σ×Γ,|v1(x;z0)+v1(x;z)|=|v2(x;z0)+v2(x;z)|,∀(x,z)∈Σ×Γ, |
for an arbitrarily fixed
(i) If
(ii) If
Remark 1. In fact Theorem 3.2 (ii) is concerned with the uniqueness for a phaseless coefficient inverse problem of determining the coefficient
This subsection deals with the model scattering problem of a locally perturbed half-plane. Assume that the real-valued function
ui(x;z):=i4H(1)0(k|x−z|),x∈D∖{z}, |
which is the 2D fundamental solution to the Helmholtz equation. Here
Δus+k2us=0in D, | (9) |
Bcu=0on Γc, | (10) |
Bpu=0on Γp, | (11) |
limr=|x|→∞√r(∂us∂r−ikus)=0, | (12) |
where
Bcu:={u,for a perturbation of sound-soft type,∂u∂ν,for a perturbation of sound-hard type,Bpu:={u,on Γp,D,∂u∂ν+λu,on Γp,I, | (13) |
where
The well-posedness of scattering problem (9)–(12) in various specific scenarios can be established by the variational method or the integral equation method [3, 41, 54]. We now consider the inverse scattering problem by the locally perturbed half-plane for incident point sources with limited-aperture phaseless near-field data. Analogous to Definition 3.1, the admissible curves need to be introduced [52].
Definition 3.4 (Admissible curve) An open curve
(i)
(ii)
(iii)
(iv)
Similar to the arguments in the previous section, for two generic and distinct source points
ui(x;z1,z2):=ui(x;z1)+ui(x;z2),x∈D∖({z1}∪{z2}), |
the superposition of them. By the linearity of direct scattering problem, the total near-field is expressed by
u(x;z1,z2):=u(x;z1)+u(x;z2),x∈D∖({z1}∪{z2}). |
The phaseless datasets are analogous as well.
Definition 3.5 (Near-field datasets for locally perturbed half-plane) Assume that
DNL1:={|u(x;z0)|:x∈Σ},DNL2:={|u(x;z)|:x∈Σ, z∈Λ},DNL3:={|u(x;z0)+u(x;z)|:x∈Σ, z∈Λ} |
for a fixed wavenumber
The formulation of the phaseless inverse scattering problems under consideration is given by the following problem, which is geometrically illustrated in Figure 4.
Problem 3.5 (Inverse scattering by locally perturbed half-planes). Let
Let
Theorem 3.3. [52] Let
|u1(x;z0)|=|u2(x;z0)|,∀x∈Σ,|u1(x;z)|=|u2(x;z)|,∀(x,z)∈Σ×Λ,|u1(x;z0)+u1(x;z)|=|u2(x;z0)+u2(x;z)|,∀(x,z)∈Σ×Λ, |
for an arbitrarily fixed
In this last section, a recent result concerning phaseless inverse cavity scattering problems will be presented [55]. To our knowledge, this is the first uniqueness result in inverse cavity scattering problems with phaseless data. As mentioned in the previous sections, the reference ball approach and the superposition of emanating point sources are crucial ingredients for the success of establishing uniqueness for phaseless exterior inverse scattering problems. For the interior problem of an impenetrable cavity, it is reasonable to combine these two strategies in order to guarantee the uniqueness. To this end, we bring together four main ingredients in our analysis: utilization of the reference ball technique, superposition of point sources, the reciprocity relations and the singularity of the total fields. In particular, an impedance reference ball plays an exceptionally important role in our analysis and thus irreplaceable. We refer the interested reader to [55] for more details.
We first formulate the model cavity scattering problem. Let
Δus+k2us=0in D, | (14) |
Bu=0on ∂D, | (15) |
where
Bu:={u,for a sound-soft cavity,∂u∂ν+λu,for an impedance cavity, | (16) |
where
To introduce the interior inverse scattering problem for incident point sources with limited-aperture phaseless near-field data, we again employ a reference ball
∂u∂ν+iλ0u=0on ∂B, | (17) |
where
The superposition of point sources are almost identical to the previous section. For a generic point
For two generic and distinct source points
ui(x;z1,z2):=ui(x;z1)+ui(x;z2),x∈D∖(¯B∪{z1}∪{z2}), |
the superposition of these point sources. Once again, by the linearity of direct scattering problem, the near-field co-generated by
u(x;z1,z2):=u(x;z1)+u(x;z2),x∈D∖(¯B∪{z1}∪{z2}). |
Definition 4.1 (Near-field datasets for the cavity) Assume that
DC1:={|u(x;z0)|:x∈Σ},DC2:={|u(x;z)|:x∈Σ, z∈Γ},DC3:={|u(x;z0)+u(x;z)|:x∈Σ, z∈Γ} |
for a fixed wavenumber
With these preparations, the inverse problem under consideration is formulated as the following phaseless interior problems. The illustration is shown in Figure 5.
Problem 4.1 (Inverse scattering for cavities). Let
A rigorous proof shows that Problem 4.1 admits a unique solution, namely, the geometrical and physical information of the cavity can be simultaneously and uniquely determined from the phaseless data
Theorem 4.1. [55] Let
|u1(x;z0)|=|u2(x;z0)|,∀x∈Σ,|u1(x;z)|=|u2(x;z)|,∀(x,z)∈Σ×Γ|u1(x;z0)+u1(x;z)|=|u2(x;z0)+u2(x;z)|,∀(x,z)∈Σ×Γ |
for an arbitrarily fixed
The phaseless inverse scattering problems are theoretically and practically important. Nevertheless, being lack of phase information in measured data makes it difficult to resolve the uniqueness issue. This paper briefly reviews some recent developments in this field by summarizing the results obtained so far in a series of our publications. Intrinsically speaking, our proofs of the aforementioned uniqueness results hinge on the crux of decoupling the phaseless data via a polarization identity and with an introduction of an additional degree of freedom in the measurement, e.g., with a reference ball, with another point source/plane wave or measurement surface. Consequently, the desired uniqueness can be established by the existing uniqueness results with phase information.
In our view, there are still some open problems in this intriguing and challenging field. Therefore, we finally propose several more topics from our perspective that are interesting for further investigation.
Problem 5.1. Can one uniquely determine the obstacle using the phaseless far-field data due to incident plane waves with distinct directions with a fixed wavenumber and a reference ball?
Although there exist numerical results showing that the target obstacle can be accurately reconstructed without any superposition of waves [15], a rigorously mathematical answer to Problem 5.1, to our best knowledge, is still open.
Problem 5.2. Given the a priori information that the obstacle is of general sound-soft or sound-hard polygon or polyhedron type, can the obstacle be uniquely determined using less phaseless data due to point sources/plane waves in conjunction with a reference object?
Under the assumption of physical optics approximation, one can indeed determine the exterior unit normal vector of each side/face of the polygonal obstacle from phaseless backscattering data corresponding to a few incident plane waves with suitably chosen incoming directions [31, 32]. By incorporating a reference ball into the scattering system, the phaseless data triple such as the one defined in Definition 2.3 would probably involve redundant data for recovering a polygon/polyhedron. Thus it would be interesting to investigate the proper choice of the dataset so as to establish the corresponding uniqueness.
Problem 5.3. For the determinations of periodic structures in inverse diffraction grating problems, is it possible to develop similar reference object techniques to obtain the uniqueness from associated amplitude information of scattering data?
A number of inversion methods have been proposed to numerically reconstruct the grating profiles from phaseless data, e.g., [2, 4, 57] but the theoretical study on the uniqueness seems to be very limited. Whilst various inversion approaches for imaging bounded scatterers can be modified to find unbounded structures, it is hence plausible to consider devising novel methodologies with the techniques presented in this paper.
We would like to thank Prof. Hongyu Liu for his thoughtful and valuable suggestions on improving the details in this paper. We would also like to thank the anonymous referees for their insightful comments and constructive suggestions on our manuscript, which have led to significant improvements on the presentation of this paper.
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