A Compressive Sensing-Based Bistatic MIMO Radar Imaging Method in the Presence of Array Errors

Autor:	Zhigang Liu, Jun Li, Junqing Chang, Yifan Guo
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Electrical engineering. Electronics. Nuclear engineering TK1-9971 Cellular telephone services industry. Wireless telephone industry HE9713-9715
Zdroj:	International Journal of Antennas and Propagation, Vol 2018 (2018)
Druh dokumentu:	article
ISSN:	1687-5869 1687-5877
DOI:	10.1155/2018/9434360
Popis:	A robust transmit-receive angle imaging method for bistatic MIMO radar based on compressed sensing is proposed. A new imaging model with array gain and phase error is established. The array gain error and phase error were modeled as a random interference for observation matrix by mathematical derivation. A constraint of observation matrix error is constructed in optimization problem of sparse recovery to reduce the effect of the interference of observation matrix. Then, the iterative algorithm of the optimization problems is derived. The proposed recovery method is more robust than the existed method in small samples, especially in the case of one snapshot. It is applicable in the case of relatively small array gain and phase errors. Simulation results confirm the effectiveness of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/99133e69abe844789b3a8f8c69f5983e Zobrazit plný text záznamu Plný text View record in DOAJ