Sparsity-aware transmit beamspace design for FDA-MIMO radar

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)99-103
Journal / PublicationSignal Processing
Volume144
Online published5 Oct 2017
Publication statusPublished - Mar 2018

Abstract

Frequency diverse array (FDA) can produce a range-angle-dependent beampattern due to the employment of a small frequency increment across the array elements. By utilizing this characteristic, this letter devises an FDA and multiple-input multiple-output hybrid radar to jointly estimate the ranges and angles of multiple targets via optimal transmit beamspace design. A uniform elemental power constraint is adopted as the optimization criterion is to minimize the mutual coherence of the sensing matrix using a sparse model and to achieve high-resolution estimation in both range and angle dimensions. A cyclic optimization approach based on power method-like is further developed to solve the non-convex design problem. The excellent performance of the proposed approach is demonstrated via computer simulations.

Research Area(s)

  • Frequency diverse array, MIMO radar, Parameter estimation, Sparsity, Waveform design

Citation Format(s)

Sparsity-aware transmit beamspace design for FDA-MIMO radar. / Gong, Pengcheng; Wang, Wen-Qin; Li, Fengcong; So, Hing Cheung.

In: Signal Processing, Vol. 144, 03.2018, p. 99-103.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review