TY - GEN
T1 - A modified algorithm for DOA estimation of coherent signal with SVD
AU - Yang, Qi
AU - Huang, Dengshan
AU - Jiang, Wen
PY - 2010
Y1 - 2010
N2 - The research of coherent signal DOA has been a focus of research estimated spatial spectrum estimation. With the singular value decomposition, which presents a modified algorithm (MSVD) to solve signal-related research, i.e., with a new matrix of a certain rule that from the feature vector corresponding to the largest eigenvalue matrix of signals related, then an amendment to this matrix, and finally get some information of signal with SVD. In low SNR conditions, the algorithm can estimate coherence source effectively, it achieves higher estimation accuracy than other methods. Simulation results that MSVD algorithm has better performance than the conventional MSS and SVD algorithms in accuracy and stability; when the SNR is -5 dB and the angular difference of two signal sources is 10°, the successful rate of MSVD algorithm is nearly 100% but those of conventional MSS and SVD algorithms are much lower.
AB - The research of coherent signal DOA has been a focus of research estimated spatial spectrum estimation. With the singular value decomposition, which presents a modified algorithm (MSVD) to solve signal-related research, i.e., with a new matrix of a certain rule that from the feature vector corresponding to the largest eigenvalue matrix of signals related, then an amendment to this matrix, and finally get some information of signal with SVD. In low SNR conditions, the algorithm can estimate coherence source effectively, it achieves higher estimation accuracy than other methods. Simulation results that MSVD algorithm has better performance than the conventional MSS and SVD algorithms in accuracy and stability; when the SNR is -5 dB and the angular difference of two signal sources is 10°, the successful rate of MSVD algorithm is nearly 100% but those of conventional MSS and SVD algorithms are much lower.
KW - Coherent signal
KW - Direction of arrival
KW - Signal to noise ratio
KW - Singular value decomposition (SVD)
UR - http://www.scopus.com/inward/record.url?scp=77955182495&partnerID=8YFLogxK
U2 - 10.1109/CCIE.2010.221
DO - 10.1109/CCIE.2010.221
M3 - 会议稿件
AN - SCOPUS:77955182495
SN - 9780769540269
T3 - 2010 International Conference on Computing, Control and Industrial Engineering, CCIE 2010
SP - 408
EP - 411
BT - 2010 International Conference on Computing, Control and Industrial Engineering, CCIE 2010
T2 - 1st International Conference on Computing Control and Industrial Engineering, CCIE 2010
Y2 - 5 June 2010 through 6 June 2010
ER -