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- W2378627717 abstract "Most of the computational complexities of MUSIC algorithms are centered in eigendecomposition and full dimensional DOA search.To avoid eigendecomposition,adaptive coherent signal cancellation algorithm is introduced to estimate noise subspace.Because all outputs of the arrays are coherent,each one can be cancelled by others,and this process results in a coefficient matrix to be the estimation of noise subspace.The matrix form of this method is provided based on LMS algorithm,working in parallel and iteratively which reduces the computational complexity with little performance loss when the array number is not too small contracted to MUSIC algorithm and suits engineering implementation and DOA tracking.The spectrum peaks are first searched by one vector of the matrix,and the other vectors are used to identify all the peaks.Using this method,the DOA search process is optimized too.The simulation analysis indicates that this novel algorithm is active." @default.
- W2378627717 created "2016-06-24" @default.
- W2378627717 creator A5031787150 @default.
- W2378627717 date "2010-01-01" @default.
- W2378627717 modified "2023-09-23" @default.
- W2378627717 title "Adaptive Noise Subspace Estimation Based on Coherent Signal Canceller" @default.
- W2378627717 hasPublicationYear "2010" @default.
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