摘要
A new method for array calibration of array gain and phase uncertainties, which severely degrade the performance of spatial spectrum estimation, is presented. The method is based on the idea of the instrumental sensors method （ISM）, two well-calibrated sensors are added into the original array. By applying the principle of estimation of signal parameters via rotational invariance techniques （ESPRIT）, the direction-of-arrivals （DOAs） and uncertainties can be estimated simultaneously through eigen-decomposition. Compared with the conventional ones, this new method has less computational complexity while has higher estimation precision, what＇s more, it can overcome the problem of ambiguity. Both theoretical analysis and computer simulations show the effectiveness of the proposed method.
A new method for array calibration of array gain and phase uncertainties, which severely degrade the performance of spatial spectrum estimation, is presented. The method is based on the idea of the instrumental sensors method （ISM）, two well-calibrated sensors are added into the original array. By applying the principle of estimation of signal parameters via rotational invariance techniques （ESPRIT）, the direction-of-arrivals （DOAs） and uncertainties can be estimated simultaneously through eigen-decomposition. Compared with the conventional ones, this new method has less computational complexity while has higher estimation precision, what＇s more, it can overcome the problem of ambiguity. Both theoretical analysis and computer simulations show the effectiveness of the proposed method.
作者简介
Liao Bin was born in 1983. He received the B. S. degree in electronic engineering from Xidian University, in 2006. He is now a M. S. degree candidate for signal and information processing at the National Key Lab of Radar Signal Processing, Xidian University. His current research interest is array signal processing.Liao Guisheng received the B. S. degree from Guangxi University, China, and the M. S. and Ph. D. degrees from Xidian University in 1985, 1990, and 1992, respectively. He joined the National Key Lab of Radar Signal Processing of Xidian University in 1992, where he is currently a professor and vice director of the laboratory. He is currently a member of IEEE. His research interests are mainly in signal processing for radar and communication, and smart antenna for wireless communication.
