DOA estimation algorithm for high maneuvering scenarios Based on improved covariance matrix

DOI

10.2991/icamcs-16.2016.129How to use a DOI?

Keywords

Array signal processing, Coherent signal, DOA, Covariance matrix.

Abstract

Aiming at the problem that signal snapshot data of the target is sparse and conventional algorithm is difficult to obtain the signal subspace ,a new DOA decorrelation algorithm based on improved covariance matrix is proposed. Firstly, the received single snapshot data is pretreated by cross-correlation , then the equivalent covariance matrix is reconstructed by using the data obtained from the pretreatment, and then the DOA estimation of coherent signals is completed based on the MUSIC algorithm. Without losing the aperture of the array ,the proposed algorithm ensures the accuracy of the spectral estimation . Simulation results demonstrate that the proposed algorithm can achieve better performance than that of traditional method in high-speed mobile scenarios.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengtang Liu
AU  - Yanjie Cheng
AU  - Hui Ma
AU  - Wen Yang
AU  - Huimin Gao
AU  - Dongdong Zhou
PY  - 2016/06
DA  - 2016/06
TI  - DOA estimation algorithm for high maneuvering scenarios Based on improved covariance matrix
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 632
EP  - 637
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.129
DO  - 10.2991/icamcs-16.2016.129
ID  - Liu2016/06
ER  -