Waveform Design for MIMO Radar with One-Bit DACs via Block-Sparse Semidefinite Relaxation

Journal of Beijing Institute of Technology ›› 2021, Vol. 30 ›› Issue (4) : 323 -339.

PDF (3547KB)
Journal of Beijing Institute of Technology ›› 2021, Vol. 30 ›› Issue (4) : 323 -339. DOI: 10.15918/j.jbit1004-0579.2021.067

Waveform Design for MIMO Radar with One-Bit DACs via Block-Sparse Semidefinite Relaxation

Author information +
History +
PDF (3547KB)

Abstract

Multiple-input multiple-output (MIMO) systems which deploy one-bit DACs are attractive in many fields, such as wireless communications and radar. In this paper, the problem of transmit waveform design in MIMO radar system with one-bit DACs is investigated. By appropriately designing the transmitted QPSK signal waveforms, the majority of radiated energy can be focused into the mainlobe region(s) by minimizing the integrated sidelobe to mainlobe ratio (ISMR) of beampattern, such that the intensity of backscattered signals from targets can be enhanced. However, the resulting optimization problem which consists of constrained fractional quadratic problem (CFQP) is noconvex. To tackle this problem, a block-sparse semidefinite relaxation method is first utilized to reformulate the CFQP into a reduced convex semidefinite programming (SDP). Further, a customized interior point algorithm (IPA) is developed to solve the small-scale SDP. Finally, the desirable one-bit transmit waveform sequence can be properly synthesized by using Gaussian randomization method. Numerical simulation results demonstrate that the proposed method offer better performance than the state-of-the-art algorithms.

Keywords

MIMO radar / beampattern synthesis / one-bit quantization / waveform design

Cite this article

Download citation ▾
null. Waveform Design for MIMO Radar with One-Bit DACs via Block-Sparse Semidefinite Relaxation. Journal of Beijing Institute of Technology, 2021, 30(4): 323-339 DOI:10.15918/j.jbit1004-0579.2021.067

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (3547KB)

553

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/