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2004•Journal of Xidian UniversityRequires access

Direction of arrival estimation based on the MSWF

WU Shun-junn

Open publisher page 1 citations

Abstract

Utilizing the reduced-rank technique of the Multi-Stage Wiener Filter(MSWF), a novel method for Direction Of Arrival(DOA) estimation is proposed, resulting in a new way for parameter estimation. Analysis and simulation show that this method can be applied in the case where only a few samples are available and the Signal to Interference plus Noise Ratio (SINR) is very low. On the other hand, the new method requires much lower computational cost than the subspace-based methods. Finally, simulations are given to validate the method.

About this research paper

What this paper is about

Utilizing the reduced-rank technique of the Multi-Stage Wiener Filter(MSWF), a novel method for Direction Of Arrival(DOA) estimation is proposed, resulting in a new way for parameter estimation. Analysis and simulation show that this method can be applied in the case where only a few samples are available and the Signal to Interference plus Noise Ratio (SINR) is very low. On the other hand, the new method requires much lower computational cost than the subspace-based methods. Finally, simulations are given to validate the method.

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Available abstract

Utilizing the reduced-rank technique of the Multi-Stage Wiener Filter(MSWF), a novel method for Direction Of Arrival(DOA) estimation is proposed, resulting in a new way for parameter estimation. Analysis and simulation show that this method can be applied in the case where only a few samples are available and the Signal to Interference plus Noise Ratio (SINR) is very low. On the other hand, the new method requires much lower computational cost than the subspace-based methods. Finally, simulations are given to validate the method.

Key concepts: Direction of arrival, Computer science, Wiener filter, Subspace topology, Algorithm, Interference (communication), Rank (graph theory), Signal subspace

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