TY - GEN
T1 - Experimental studies on direction finding via blind beamforming
AU - Jie, Zhuo
AU - Chao, Sun
AU - Yixin, Yang
PY - 2007
Y1 - 2007
N2 - Blind beamforming algorithms have the ability to recover the desired signals from array outputs without any prior knowledge of the array geometry. After blind separation of the signals, the DOAs can be estimated for each source individually. In this paper, the performance of the multistage Constant Modulus (CM) array, one of the most striking blind beamforming algorithms, for the source DOA estimation was analyzed via water tank experiments, and was compared to that of other DOA estimation algorithms including the 'non-blind' and the 'blind' algorithms. Results of water tank experiments showed that the multistage CM array can not only blindly recover the independent signal, but also correctly estimate the DOAs. The angle separating ability of the CM array was beyond the Rayleigh resolution limit.
AB - Blind beamforming algorithms have the ability to recover the desired signals from array outputs without any prior knowledge of the array geometry. After blind separation of the signals, the DOAs can be estimated for each source individually. In this paper, the performance of the multistage Constant Modulus (CM) array, one of the most striking blind beamforming algorithms, for the source DOA estimation was analyzed via water tank experiments, and was compared to that of other DOA estimation algorithms including the 'non-blind' and the 'blind' algorithms. Results of water tank experiments showed that the multistage CM array can not only blindly recover the independent signal, but also correctly estimate the DOAs. The angle separating ability of the CM array was beyond the Rayleigh resolution limit.
KW - Blind beamforming
KW - DOA estimation
UR - http://www.scopus.com/inward/record.url?scp=50249187105&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2007.4498020
DO - 10.1109/CAMSAP.2007.4498020
M3 - 会议稿件
AN - SCOPUS:50249187105
SN - 9781424417148
T3 - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
SP - 281
EP - 284
BT - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
T2 - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
Y2 - 12 December 2007 through 14 December 2007
ER -