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Dimension-Factorized Range Migration Algorithm for Regularly Distributed Array Imaging
Guo, Qijia1; Wang, Jie1; Chang, Tianying1,2; Cui, Hong-Liang1,3
2017-11-01
摘要The two-dimensional planar MIMO array is a popular approach for millimeter wave imaging applications. As a promising practical alternative, sparse MIMO arrays have been devised to reduce the number of antenna elements and transmitting/receiving channels with predictable and acceptable loss in image quality. In this paper, a high precision three-dimensional imaging algorithm is proposed for MIMO arrays of the regularly distributed type, especially the sparse varieties. Termed the Dimension-Factorized Range Migration Algorithm, the new imaging approach factorizes the conventional MIMO Range Migration Algorithm into multiple operations across the sparse dimensions. The thinner the sparse dimensions of the array, the more efficient the new algorithm will be. Advantages of the proposed approach are demonstrated by comparison with the conventional MIMO Range Migration Algorithm and its non-uniform fast Fourier transform based variant in terms of all the important characteristics of the approaches, especially the anti-noise capability. The computation cost is analyzed as well to evaluate the efficiency quantitatively.
关键词dimension-factorized range migration algorithm MIMO regularly distributed array imaging
DOI10.3390/s17112549
发表期刊SENSORS
ISSN1424-8220
卷号17期号:11页码:13
通讯作者Chang, TY (reprint author), Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130061, Jilin, Peoples R China. ; Chang, TY (reprint author), Shandong Acad Sci, Inst Automat, Jinan 250014, Shandong, Peoples R China.
收录类别SCI
WOS记录号WOS:000416790500111
语种英语