Title :
Sparse reconstruction based target localization with frequency diverse array MIMO radar
Author :
Hui Chen ; Huaizong Shao
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, we propose a target localization method with frequency diverse array (FDA) multiple-input and multiple-output (MIMO) radar in sparse signal reconstruction perspective. We jointly use sparsity reconstruction method and FDA transmitting array. The essence of the proposed technique is to formulate the problem of angle and range estimation using sparsity enforced reconstruction method with FDA MIMO radar. And one type of sparse reconstruction methods, the convex relaxation method, is considered. By implementing numerical experiments, we demonstrate that our proposed method can fully utilize the range-independent directivity created by FDA transmitting array and also outperform the conventional MUSIC method.
Keywords :
MIMO radar; convex programming; radar signal processing; relaxation theory; signal reconstruction; FDA multiple input multiple output radar; FDA transmitting array; angle estimation; convex relaxation method; frequency diverse array MIMO radar; range estimation; sparse reconstruction based target localization; sparse signal reconstruction; sparsity enforced reconstruction method; Arrays; Frequency diversity; MIMO radar; Multiple signal classification; Radar antennas; Signal processing algorithms; Frequency diverse array (FDA); convex optimization; localization; multiple-input and multiple-output (MIMO) radar;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ChinaSIP.2015.7230369