Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design

In this paper, a fast method to generate a constant-modulus (CM) waveform for a multiple-input, multiple-output, (MIMO) radar is proposed. To simplify the optimization process, the design of the transmit waveform is decoupled from the design of transmit beamformers (TBs) and subpulses. To further improve the computational efficiency, the TBs’ optimization is conducted in parallel, and a linear programming model is proposed to match the desired beampattern. Additionally, we incorporate the perturbation vectors into the TBs’ optimization so that the TBs can be adjusted to satisfy the CM constraint. To quickly generate the CM subpulses with the desired range-compression (RC) performance, the classical linear frequency modulation (LFM) signal and non-LFM (NLFM) are adopted as subpulses. Meanwhile, to guarantee the RC performance of the final angular waveform, the selection of LFM signal parameters is analyzed to achieve a low cross-correlation between subpulses. Numerical simulations verify the transmit beampattern performance, RC performance, and computational efficiency of the proposed method.

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Publication Details

Journal
Remote Sensing
Published
2024-08-12
DOI
https://doi.org/10.3390/rs16162950
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30

Funders

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Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design

Junkun Yan, Yinghui Zhang, Hao Wu, Hao Zheng et al.
1 citations
Remote Sensing
Radar Systems and Signal Processing
1.30
article

Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design

Junkun Yan, Yinghui Zhang, Hao Wu, Hao Zheng, Yantao Sun, Jian Xu
article en
1 citations

Abstract

In this paper, a fast method to generate a constant-modulus (CM) waveform for a multiple-input, multiple-output, (MIMO) radar is proposed. To simplify the optimization process, the design of the transmit waveform is decoupled from the design of transmit beamformers (TBs) and subpulses. To further improve the computational efficiency, the TBs’ optimization is conducted in parallel, and a linear programming model is proposed to match the desired beampattern. Additionally, we incorporate the perturbation vectors into the TBs’ optimization so that the TBs can be adjusted to satisfy the CM constraint. To quickly generate the CM subpulses with the desired range-compression (RC) performance, the classical linear frequency modulation (LFM) signal and non-LFM (NLFM) are adopted as subpulses. Meanwhile, to guarantee the RC performance of the final angular waveform, the selection of LFM signal parameters is analyzed to achieve a low cross-correlation between subpulses. Numerical simulations verify the transmit beampattern performance, RC performance, and computational efficiency of the proposed method.

Remote SensingVol. 16(16)
Xidian University (CN), China Aerospace Science and Industry Corporation (China) (CN), Inner Mongolia University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 13%
Radar Systems and Signal Processing
1.30
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Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design — Junkun Yan, Yinghui Zhang, et al. · Remote Sensing (2024) | TGRS Research Map | TGRS