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Temporal-spatial subspaces modern combination method for 2D-DOA estimation in MIMO radar

查看全文 作  者:Youssef [1]Fayad;Caiyun [2]Wang;Qunsheng [1]Cao 高影响力作者 机构地区:[1]College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;[2]College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China高影响力机构 出  处:《Journal of Systems Engineering and Electronics》索引2017年第28卷第4期,共6页高影响力期刊 基  金:supported by the National Natural Science Foundation of China(61301211)and the Aviation Science Foundation(20131852028) 摘  要:A 2D-direction of arrival estimation(DOAE) for multiinput and multi-output(MIMO) radar using improved multiple temporal-spatial subspaces in estimating signal parameters via rotational invariance techniques method(TS-ESPRIT) is introduced. In order to realize the improved TS-ESPRIT, the proposed algorithm divides the planar array into multiple uniform sub-planar arrays with common reference point to get a unified phase shifts measurement point for all sub-arrays. The TS-ESPRIT is applied to each sub-array separately, and in the same time with the others to realize the parallelly temporal and spatial processing, so that it reduces the non-linearity effect of model and decreases the computational time. Then, the time difference of arrival(TDOA)technique is applied to combine the multiple sub-arrays in order to form the improved TS-ESPRIT. It is found that the proposed method achieves high accuracy at a low signal to noise ratio(SNR)with low computational complexity, leading to enhancement of the estimators performance. 关 键 词:direction of ARRIVAL estimation (DOAE) temporal SUBSPACE spatial SUBSPACE estimating signal parameters via rotational INVARIANCE technique (ESPRIT)
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