Robust Beamforming Algorithm against Direction of Arrival Mismatch and Moving Sources
Date Issued
2007
Date
2007
Author(s)
Tsai, Wen-Chieh
DOI
zh-TW
Abstract
Adaptive beamforming technique is an important research issue, and it has many applications in wireless communications, such as sonar, radar and so on. Wideband beamformers provide good capability of receiving wideband signals, and it can suppress the noise and the interference effectively to achieve high OutputSINR. However, when there is mismatch between the directional vector of the signal and the steering vector in the receiving side, we can’t get the desired signal from the array output. For solving this nonideal problem, the orthogonality between the directional vector and the noise subspace with the same frequency can be used to establish a cost function. After finding the appropriate solution with the minimum cost function value through different optimization methods, the LCMV algorithm can use the result to calculate the optimum weight. In the other part of the thesis, we extend the wideband noise-subspace projection method to the beamforming of the moving source, and the correct steering vector of the moving source can be estimated. Then the estimated steering vector can be used in the adaptive beamforming algorithm to get the optimum output through real time processing. Finally, computer simulation result can verify that our robust beamforming algorithm can work very well in the environment of the steering angle error or moving sources.
Subjects
波束成型演算法
移動信號源
方位誤判
Beamforming Algorithm
Moving Sources
Direction of Arrival Mismatch
Type
thesis