DOA Estimation for Non-uniform Linear Array without Knowing the Number of Sources
Yaoping Zeng
Abstract
Yaoping Zeng
Abstract
This paper presents two efficient high-resolution algorithms for non-uniform linear array. In the case of the same sensor number, through appropriate arrangement of array, non-uniform linear array not only can overcome the ambiguity but also can improve the resolvability of direction-of-arrival (DOA) estimation. Then, Using Modified Capon algorithm and MUSIC technique based on whole space respectively, both of the two algorithms could acquire high estimation capability without knowing the number of signals. Simulation results verify that the proposed algorithms are effective.
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This paper presents two efficient high-resolution algorithms for non-uniform linear array. In the case of the same sensor number, through appropriate arrangement of array, non-uniform linear array not only can overcome the ambiguity but also can improve the resolvability of direction-of-arrival (DOA) estimation. Then, Using Modified Capon algorithm and MUSIC technique based on whole space respectively, both of the two algorithms could acquire high estimation capability without knowing the number of signals. Simulation results verify that the proposed algorithms are effective.
Key concepts: Capon, Algorithm, Direction of arrival, Computer science, Multiple signal classification, Ambiguity, Sensor array, Telecommunications