频控阵雷达研究进展：从系统架构到参数估计

doi:10.3969/j.issn.0255-8297.2022.06.004

Abstract

Abstract: The received signal of frequency diversity array (FDA) is a function of the angle and range of target by using little frequency offsets among array units in transmitter, which can be utilized to conduct beamforming, joint angle and range estimation and interference suppression. In this paper, the research background and progress are presented, and the principle and signal model of parameter estimation utilizing FDA-MIMO radar are introduced. After that, three frequency offset frameworks, including unfolded coprime linear array-unfolded coprime frequency offset (UCLA-UCFO), virtual coprime planar arrayunfolded coprime frequency offset (VCPA-UCFO), and synthetic aperture multi-coprime frequency offset (SA-MCFO) frameworks are proposed. In addition, several new works on algorithms, including reduce dimension root multi-signal classification (RD-root-MUSIC), fast convergence-trilinear decomposition (FC-TD), successive iteration (SUIT), twice reduce dimension-MUSIC (TRD-MUSIC) and reduce dimension MUSIC with decoupling (RDMD) algorithms are also presented. Finally, the effectiveness and superiority of the frameworks and algorithms are verified by simulations.

Key words: frequency diversity array (FDA), radar, framework design, joint angel and range estimation

CLC Number:

TN911.7

ZHANG Xiaofei, WANG Cheng, LI Jianfeng, WU Qihui. Research Progress on Frequency Diversity Array Radar: from System Framework to Parameter Estimation[J]. Journal of Applied Sciences, 2022, 40(6): 918-940.

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Research Progress on Frequency Diversity Array Radar: from System Framework to Parameter Estimation

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