小样本下基于改进的直接数据域方法的DOA估计方法

doi:10.11999/JEIT151398

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Abstract

Many of the high-resolution Direction Of Arrival (DOA) estimation methods fail to estimate the DOAs of incoming signals and distinguish the two close signals under small sample support; especially only one snapshot is available. To handle this problem, a novel DOA method based on improved Direct Data Domain (D³) technique is proposed. The basic ideal of the proposed method is to augment the time domain samples by sacrificing the space domain degree. Firstly, by splitting the entire array into many overlapping sub-array, many low-dimension samples can be obtained. Secondly, utilizing the property of far-filed narrowband signal that its amplitude response on each array is the same, a new constraint is imposed. Experimental results indicate that the resolution of the propsed method is superior to the conventional algorithms.

Key words： DOA estimation Small sample support High-resolution Sub-array sliding Direct Data Domain (D³)

Received: 09 December 2015 Published: 14 July 2016

PACS:

TN911.7

Corresponding Authors: XIE Hu E-mail: xiehumor@163.com

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	XIE Hu
	DANG Hongxing
	TAN Xiaomin
	FENG Dazheng

Cite this article:

XIE Hu,DANG Hongxing,TAN Xiaomin等. DOA Estimation Based on the Improved Direct Data Domain Method with One Sample[J]. JEIT, 2016, 38(9): 2371-2376.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT151398 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I9/2371

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