An Algorithm for Single Snapshot 2D-DOA Estimation Based on a Three-Parallel Linear Array Model

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Abstract

Estimating the spatial parameters of the signals by using the effective data of a single snapshot is essential in the field of reconnaissance and confrontation. Major drawback of existing algorithms is that its constructed covariance matrix has a great degree of rank loss. The performance of existing algorithms gets degraded with low signal-to-noise ratio. In this paper, a three-parallel linear array based algorithm is proposed to achieve two-dimensional direction of arrival estimates in a single snapshot scenario. The key points of the proposed algorithm are: 1) construct three pseudo matrices with full rank and no rank loss by using the single snapshot data from the received signal model; 2) by using the rotation relation between pseudo matrices, the matched 2D-DOA is obtained with an efficient parameter matching method. Main objective of this work is on improving the angle estimation accuracy and reducing the loss of degree of freedom in single snapshot 2D-DOA estimation.

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APA

Lin, S., Zhou, Y., Zou, W., Zhang, H., Gao, L., Liao, H., & Li, W. (2022). An Algorithm for Single Snapshot 2D-DOA Estimation Based on a Three-Parallel Linear Array Model. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E105.A(4), 673–681. https://doi.org/10.1587/transfun.2021EAP1074

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