Joint linear array structure and waveform design for MIMO radar under practical constraints

Chunhua Chu; Yijun Chen; Qun Zhang; Ying Luo; Chunhua Chu; Yijun Chen; Qun Zhang; Ying Luo

doi:10.3934/era.2022165

Electronic Research Archive

2022, Volume 30, Issue 9: 3249-3265. doi: 10.3934/era.2022165

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Joint linear array structure and waveform design for MIMO radar under practical constraints

1.
Information and Navigation College, Air Force Engineering University, Xi'an, Shaanxi 710077, China
2.
Mechanical and Electrical Engineering College, Hainan University, Haikou, Hainan 570228, China
3.
College of Information Engineering, Engineering University of PAP, Xi'an, Shaanxi 710078, China

Academic Editor: Jianguang Fang

Received: 06 May 2022 Revised: 08 June 2022 Accepted: 14 June 2022 Published: 21 June 2022

Optimizing the array structure or emission waveform of a multiple-input multiple-output (MIMO) radar system is an effective method to improve the performance in practical applications. In this study, the joint optimization of array structure and the corresponding emission waveform under interference and noise conditions was investigated. When compared with the waveform or array structure optimization alone, this method allowed the MIMO radar system to obtain a higher degree of freedom. By considering the practical limitations of the MIMO radar system, a waveform with good properties, such as orthogonality or pulse compression performance, was selected as the reference waveform. Subsequently, based on the similarity constraint and constant modulus constraint, a bivariate joint optimization problem of array structure and waveform was formulated, and an iterative optimization algorithm was proposed to solve it. The array composition was determined using a combinatorial search algorithm while the emission waveform was obtained by solving the similarity model. Eventually, it effectively converged to form quasi-optimal match variables after limited iterations. The proposed method can be expanded to the optimal launch of a specific target and an environment with a proper or minimum number of antennas, as well as implement array optimization with the desired waveform. The simulation results prove the effectiveness of the proposed method. This method provides an ideal choice for real-time construction, flexible launch, and signal processing of MIMO radar systems.
Citation: Chunhua Chu, Yijun Chen, Qun Zhang, Ying Luo. Joint linear array structure and waveform design for MIMO radar under practical constraints[J]. Electronic Research Archive, 2022, 30(9): 3249-3265. doi: 10.3934/era.2022165

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Abstract

Optimizing the array structure or emission waveform of a multiple-input multiple-output (MIMO) radar system is an effective method to improve the performance in practical applications. In this study, the joint optimization of array structure and the corresponding emission waveform under interference and noise conditions was investigated. When compared with the waveform or array structure optimization alone, this method allowed the MIMO radar system to obtain a higher degree of freedom. By considering the practical limitations of the MIMO radar system, a waveform with good properties, such as orthogonality or pulse compression performance, was selected as the reference waveform. Subsequently, based on the similarity constraint and constant modulus constraint, a bivariate joint optimization problem of array structure and waveform was formulated, and an iterative optimization algorithm was proposed to solve it. The array composition was determined using a combinatorial search algorithm while the emission waveform was obtained by solving the similarity model. Eventually, it effectively converged to form quasi-optimal match variables after limited iterations. The proposed method can be expanded to the optimal launch of a specific target and an environment with a proper or minimum number of antennas, as well as implement array optimization with the desired waveform. The simulation results prove the effectiveness of the proposed method. This method provides an ideal choice for real-time construction, flexible launch, and signal processing of MIMO radar systems.

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