Robust Adaptive Beamforming under Quadratic Constraint

摘要：

In this paper, a adaptive weighted computation algorithm based on quadratic constraint for a robust array antenna is presented to improve the shortcoming of linearly constrained adaptive beamformers sensitivity to the mismatch between the prescribed and actual direction of arrival (MPDOA). The quadratic constraint is added to the weighted least squared error between the desired and the actual beam patterns over a small region near the array steering direction, which will make the array less sensitive to the steering vector errors and nonstationary data snapshots. A new efficient and accurate approximation of the continuous direction range integration is derived and an equivalent inequality constraint is given, then the Lagrange multiplier method and the Newtons method are united to solve the equivalent equality constrained minimization problem. The computer simulation results show that the proposed beamformer in the robustness has a superior performance against MPDOA with high SINR (nearest to the optimum).

关键词： beumforming quadratic constraint

作者: Weihai Zhong Qun Wan Zhijiang Shang

作者单位: School of Electronic Engineering University of Electronic Science and Technology of China,Chengdu, P. R. China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1110-1114

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）