Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers. Issue 7 (23rd December 2021)

• Record Type: Journal Article
• Authors: Yang, Rui; Jiang, Hong; Zhang, Qi; Qu, Liangdong
• Other Names: Liao Bin guestEditor.; Liu Wei guestEditor.; Cheng Ziyang guestEditor.; Huang Tianyao guestEditor.
• Is Part Of: IET signal processing. Volume 16:Issue 7(2022)
• Page Start: 737
• Page End: 749
• Publication Date: 2021-12-23
• Subjects: MIMO radar -- radar signal processing; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/sil2.12094
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract: Multiple‐input multiple‐output (MIMO) radar waveform design in a spectrally crowded environment is a challenging problem. In this study, the issue of MIMO radar waveform design in coexistence with communication systems is investigated by maximising the output signal‐to‐interference‐plus‐noise ratio (SINR) of the MIMO radar under transmit energy, similarity and spectral compatibility constraints. Different from the existing alternating direction method of multipliers (ADMM) proposed in a single‐antenna scenario, a novel ADMM algorithm for spectrally compatible MIMO radar waveform design is proposed to efficiently tackle the non‐convex optimisation problem in both single‐antenna and multi‐antenna scenarios. Due to the decomposability of ADMM, only a few quadratic programming subproblems need to be solved during each iteration in the authors' algorithm, which reduces the computational complexity. In numerical simulations, the proposed ADMM algorithm is compared with the semidefinite relaxation algorithm and the existing ADMM algorithm in a single‐antenna scenario and a multi‐antenna scenario, respectively. It shows that the proposed ADMM algorithm can achieve almost the same performance as the two existing algorithms; however, it is computationally more efficient.