TY - GEN
T1 - Detection of the number of coherent narrowband signals with L-shaped sensor array
AU - Liu, Jiu
AU - Xin, Jingmin
AU - Zheng, Nanning
AU - Sano, Akira
PY - 2010
Y1 - 2010
N2 - This paper deals with the problem of estimating of the number of coherent narrowband signals impinging on the L-shaped sensor array, which is composed of two uniform linear arrays (ULAs) connected orthogonally at the one end of each ULA. An efficient detection method is proposed for the incident signals without the computationally burdensome eigendecomposition, where the number of incident signals is revealed as the rank of a combined matrix formed by the crosscorrelations between the array data along two ULAs. Then a ratio criterion is presented in term of the row elements of QR upper-triangular factor of the autoproduct of the combined crosscorrelation matrix, and the number of signals is determined as the value of the running index for which this criterion is maximized. The effectiveness of the proposed method is verified through numerical examples, and the simulation results show that the proposed method performs well in estimating the number of signals with small angular separation at relatively low signal-tonoise (SNR) and/or with a small number of snapshots.
AB - This paper deals with the problem of estimating of the number of coherent narrowband signals impinging on the L-shaped sensor array, which is composed of two uniform linear arrays (ULAs) connected orthogonally at the one end of each ULA. An efficient detection method is proposed for the incident signals without the computationally burdensome eigendecomposition, where the number of incident signals is revealed as the rank of a combined matrix formed by the crosscorrelations between the array data along two ULAs. Then a ratio criterion is presented in term of the row elements of QR upper-triangular factor of the autoproduct of the combined crosscorrelation matrix, and the number of signals is determined as the value of the running index for which this criterion is maximized. The effectiveness of the proposed method is verified through numerical examples, and the simulation results show that the proposed method performs well in estimating the number of signals with small angular separation at relatively low signal-tonoise (SNR) and/or with a small number of snapshots.
UR - https://www.scopus.com/pages/publications/78651061172
U2 - 10.1109/ICOSP.2010.5657171
DO - 10.1109/ICOSP.2010.5657171
M3 - 会议稿件
AN - SCOPUS:78651061172
SN - 9781424458981
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 323
EP - 326
BT - ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
T2 - 2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Y2 - 24 October 2010 through 28 October 2010
ER -