FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach

被引：0

作者：

Zhang, Zongyu ^{[1
]}

Zhou, Chengwei ^{[1
]}

Gu, Yujie ^{[2
]}

Shi, Zhiguo ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

[2] Temple Univ, Dept Elect & Comp Engn, Philadelphia, PA 19122 USA

来源：

2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | 2018年

基金：

中国国家自然科学基金;

关键词：

Coprime MIMO radar; DOA estimation; efficiency; fast Fourier transform; hardware-friendly; COVARIANCE-MATRIX RECONSTRUCTION; OF-ARRIVAL ESTIMATION; DIRECTION; ESPRIT;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a fast Fourier transform (FFT)-based direction-of-arrival (DOA) estimation algorithm for coprime multiple-input multiple-output (MIMO) radar, where both the performance and the system overhead are well balanced. The coprime arrays are deployed in the framework of MIMO radar for sparse sensing, where an augmented virtual array can be generated from the difference coarray of sum coarray (DCSC) perspective. By implementing FFT on the second-order DCSC signals, it is shown that the DOAs can be retrieved from the resulting spatial response with an improved resolution. Moreover, neither the complex matrix operations nor the optimization problems are involved, indicating the efficient and hardware-friendly characteristic. Simulation results demonstrate the performance superiorities of the proposed algorithm.

引用

页数：5

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