Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design-Reference-Cited by-同舟云学术

Perturbation Transmit Beamformer Based Fast Constant Modulus MIMO Radar Waveform Design

Published:2024-08-12 Issue:16 Volume:16 Page:2950
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Zheng Hao¹^ORCID,Wu Hao¹^ORCID,Zhang Yinghui¹,Yan Junkun²,Xu Jian³,Sun Yantao³

Affiliation:

1. College of Electronic Information Engineering, Inner Mongolia University, Hohhot 010010, China

2. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

3. The 601 Institute, The 6th Academy of China Aerospace Science and Industry CORP, Hohhot 010010, China

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.

Funder

Natural Science Foundation of Inner Mongolia Autonomous Region of China

National Natural Science Foundation of China

Training Plan for Young Innovative of Grassland Talents Project in Inner Mongolia Autonomous Region

Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region

Innovation Capability Support Program of Shaanxi

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/16/2950/pdf

Reference49 articles.

1. Overview of radar waveform diversity;Blunt;IEEE Aerosp. Electron. Syst. Mag.,2016

2. Fuhrmann, D., and San Antonio, G. (2004, January 7–10). Transmit beamforming for MIMO radar systems using partial signal correlation. Proceedings of the Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.

3. Fishler, E., Haimovich, A., Blum, R., Cimini, R., Chizhik, D., and Valenzuela, R. (2004, January 7–10). Performance of MIMO radar systems: Advantages of angular diversity. Proceedings of the Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.

4. Robey, F., Coutts, S., Weikle, D., McHarg, J., and Cuomo, K. (2004, January 7–10). MIMO radar theory and experimental results. Proceedings of the Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.

5. Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network;Yan;IEEE Trans. Signal Process.,2021