Blind Detection of 16PSK Signal Using Support Vector Regression
Zhiyong Zhang · Journal of Nanjing University of Posts and Telecommunications · 2009
Most algorithms of blind detection are based on second-order or high-order statistics,all of which need a large data block.Blind detection of high-order PSK(phase shift keying)signal based on short data block hasn't been presented according to references we found.This paper focuses on studying the algorithm of 16PSK signal blind detection depends on a short data block.The problem of 16PSK signal blind detection is transformed to solve unconstrained optimization problem by using support vector regression and adopting linear e-insensitive loss function.Moreover,an iterative method is used to solve the optimization problem of blind detection of 16PSK signal.Finally,a classic mobile communications complex channel is adopted to simulate and analyze the performance of this novel algorithm and its characteristics.