Research on Subspace Identification Algorithm for DOA Estimation
Shu Kun
Abstract
Shu Kun
Abstract
A SSMUSIC algorithm is introduced based on traditional MUSIC algorithm,which has better angle resolution between two closely sources by the computer simulation based on the ULA.When the sources are coherent,the performance of SSMUSIC for DOA estimation deteriorates clearly.A forward-backward-smoothing technique is used and the SSMUSIC is applied to estimate DOA,in order to resolve this problem.The computer simulation indicates that the ability of SSMUSIC to differentiate coherent signals is improved by the forward-backward-smoothing technique.
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A SSMUSIC algorithm is introduced based on traditional MUSIC algorithm,which has better angle resolution between two closely sources by the computer simulation based on the ULA.When the sources are coherent,the performance of SSMUSIC for DOA estimation deteriorates clearly.A forward-backward-smoothing technique is used and the SSMUSIC is applied to estimate DOA,in order to resolve this problem.The computer simulation indicates that the ability of SSMUSIC to differentiate coherent signals is improved by the forward-backward-smoothing technique.
Key concepts: Smoothing, Subspace topology, Algorithm, Computer science, Identification (biology), Multiple signal classification, Direction of arrival, Speech recognition