用于高阶MPPSK 信号检测的SVM新算法

为了降低支持向量机(SVM)算法在高阶多元位置相移键控（M-ary Position Phase Shift Keying，MPPSK）系统的信号检测复杂度，在分析常用SVM多分类算法的基础上，提出了一种新的具有更低复杂度的类二分法SVM。为了进一步提高高阶MPPSK信号检测性能，提出一种新的SVM特征向量提取方法，调制矩阵法，并将两种方法结合起来，用于高阶MPPSK系统的信号检测。仿真结果表明:类二分法SVM能显著降低多分类SVM的算法复杂度，调制矩阵选取特征向量法能够显著提高高阶MPPSK系统的检测性能，两种方法结合用于高阶MPPSK系统，可以在有效降低复杂度的前提下保证期望的检测性能。 

A New SVM Algorithm for high-order MPPSK Signal Detection

In order to lower the complexity of M-ary Position Phase Shift Keying (MPPSK) signal detection based on support vector machines (SVM), a new method named similar dichotomy SVM with low complexity was proposed after the discussion of common methods for the multiclass classification of SVM. Then a new approach of choosing SVM characteristic vector, known as modulation array method, was proposed, which meant to improve the detection performance of high-order MPPSK system. At last, these two methods were combined to be used in the detection of higher-order MPPSK system. The simulation results indicate that: the complexity of multiclass classification SVM can be significantly lowered and the detection performance of the high-order MPPSK system is effectively improved by using similar dichotomy and modulation array method respectively. And combining these two methods, the complexity can be effectively lowered while the expected detection performance is guaranteed.