A new robust adaptive beamforming method against array imperfections and uncertainties
The performance of the general adaptive array beamforming algorithm is known to declined severely in the presence of array imperfections and uncertainties. So the robustness of adaptive array beamforming techniques against uncertainties is one of the important issues. In the situation of array amplitude and phase errors, signal steering errors and other data mismatch, this paper put forward a new method. This new algorithm can enhance the desired signal and suppress the interference signals simultaneity. The new algorithm estimates the power of desired signal by oblique projection property to add some interference signals. Interference signal has the same power. It is different from other methods. So this processing is specially suit to the situation of the difference power between the desired and interference signal. This technique is presented to widen null of array pattern stably. The performance in the present of array amplitude and phase errors and signal steering errors is assured by the uncertain range restriction. Certainly, this optimization with some restriction can be solved by the lagrange method. The iterative weight vector is proved to be convergent. The new algorithm is not complex. Its validity and superiority are proved by simulation results as compared with the general adaptive array beamforming algorithms.