MIMO Dual-Functional Radar-Communication Waveform Design With Peak Average Power Ratio Constraint

被引：7

作者：

Zhao, Yujiu ^{[1
]}

Chen, Yiqin ^{[1
]}

Ritchie, Matthew ^{[2
]}

Su, Weimin ^{[1
]}

Gu, Hong ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Elect & Opt Engn, Nanjing 210094, Peoples R China

[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England

来源：

IEEE ACCESS | 2021年 / 9卷

基金：

中国国家自然科学基金;

关键词：

Spectral coexistence; dual-functional radar-communication; non-convex optimization; semi-definite relaxation; peak average power ratio constraint;

D O I：

10.1109/ACCESS.2020.3045083

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, novel Dual-Functional Radar-Communication (DFRC) waveforms with peak average power ratio (PAPR) constraint are designed, which are under the multiple-input multiple-output (MIMO) radar-communication system. The DFRC waveforms transmitted by multiple antennas can send communication information to many downlink cellular users and detect radar targets simultaneously. An optimization model is established to minimize the downlink multi-user interference (MUI) under PAPR constraint. The model is non-convex quadratically constrained quadratic programs (QCQP) and can be derived into a convex problem and solved by using the semi-definite relaxation (SDR) technique with rank-one approximation. Numerical simulations demonstrate that our proposed waveforms can achieve a better radar performance in practical scenarios without sacrificing the communication performance.

引用

页码：8047 / 8053

页数：7

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