基于量化阵列的非高斯信号预处理方法

In this paper, we apply quantizer-array based preprocessing method to detect a BPSK signal under symmetric alpha-stable noise. By the equivalent transformation function of quantizer-array and Gauss approximation of the correlator’s output, a constrained functional optimization problem is established. However, it is hard to get the analytical solution of this problem. We further apply finite discretization to this functional optimization problem, and prove that the approximation problem is a convex quadratic programming problem. Therefore, the resulting problem can be solved by convex optimization.