%0 Journal Article
%A LIU Ke
%A MA Jun-da
%A QIAN Hua-ming
%A WANG Bing-zi
%T Robust Constant Modulus Adaptive Beamforming Algorithm Based on Probability-Constrained Optimization
%D 2016
%R 10.13190/j.jbupt.2016.02.013
%J Journal of Beijing University of Posts and Telecommunications
%P 63-68
%V 39
%N 2
%X <p>This article combines probability-constrained optimization technique with constant modulus algorithm to study a new robust adaptive beamforming algorithm for constant modulus signals. Aiming at the two kinds of cases that steering vector mismatch follows the Gauss distribution and unknown distribution, the optimization cost functions are respectively built, and these optimization problems are changed to the second order cone (SOC) programming ones solved with interior point methods. Then, the convex analyses of the optimization problems are carried out as well. In the simulation, the proposed algorithm compares with related robust algorithms to demonstrate its superiority and effectiveness.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.02.013