TY - JOUR
T1 - Signal arrival direction estimation method using RWT
AU - Xu, Jianzhong
AU - Wang, Zulin
AU - Guo, Xujing
PY - 2011/9
Y1 - 2011/9
N2 - According to the low accuracy of direction of arrival (DOA) estimation for wideband linear frequency modulation (LFM) signals, a method of DOA estimation based on Radon-Wigner transform (RWT) and multiple signal classification (MUSIC) was proposed. In this method, first the original frequency and the frequency modulation slope were extracted by peak research, with the excellent time-frequency concentration performance of RWT which can eliminate cross interference terms and noise effectively in the background of multiple sources. Then the time-variable direction matrix of signal array was transformed to the fixed direction matrix, and the RWT domain correlation matrix of the sensor array sources was acquired. Finally the MUSIC spatial spectrum analysis algorithm was used to estimate the DOA of signals. The results show that this method based on RWT can estimate DOA efficiently for non-stationary signals.
AB - According to the low accuracy of direction of arrival (DOA) estimation for wideband linear frequency modulation (LFM) signals, a method of DOA estimation based on Radon-Wigner transform (RWT) and multiple signal classification (MUSIC) was proposed. In this method, first the original frequency and the frequency modulation slope were extracted by peak research, with the excellent time-frequency concentration performance of RWT which can eliminate cross interference terms and noise effectively in the background of multiple sources. Then the time-variable direction matrix of signal array was transformed to the fixed direction matrix, and the RWT domain correlation matrix of the sensor array sources was acquired. Finally the MUSIC spatial spectrum analysis algorithm was used to estimate the DOA of signals. The results show that this method based on RWT can estimate DOA efficiently for non-stationary signals.
KW - Cross terms suppression
KW - Direction of arrival estimation
KW - Linear frequency modulation signals
KW - Multiple signal classification
KW - Radon-Wigner transform (RWT)
UR - https://www.scopus.com/pages/publications/80054840026
M3 - 文章
AN - SCOPUS:80054840026
SN - 1671-4512
VL - 39
SP - 16
EP - 19
JO - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
JF - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
IS - 9
ER -