Research Of Digital Phase Modulation Signal Recognition And DSP Implementation

Modulation recognition of digital communication signals is very important in the field ofradio spectrum monitoring, electronic warfare, and communications reconnaissance. AndM-ary digital phase modulation (MPSK) is commonly used in digital modulation. So MPSKmodulation recognition has its important significance and broad application prospect.This thesis aims to research the recognition of digital modulation signal and DSPimplementation, including2PSK,4PSK,8PSK and16PSK. Modulation recognition systemgenerally consists of three parts, signal preprocessing, feature parameter extraction and signalrecognition. At first describes the signal processing, also called signal normalization, its mainpurpose is to convert the signals into intermediate frequency signal. The mainly research areparameter extraction and signal recognition, feature extraction is the most important part ofsignal recognition, feature extraction is to extract feature to distinguish signals from differentfeatures. Signal recognition is the most important part, has experienced a long developmentprocess, from previous artificial recognition to current automatic recognition. This thesis useshigh order cumulants algorithm for signal recognition, traditional high order cumulants canidentify2PSK and4PSK, but not identify8PSK and16PSK, so improved the algorithm basedon traditional high order cumulats, continuous reduction algorithm can effectively identify the8PSK and16PSK,and proposed two new parameters, design a recognition process, analysissimulation results, and compared with other algorithms, the recognition algorithm of thisthesis achieved good results. In order to verification and analysis the algorithm’s effectivenessand superiority, based on support vector machine in different SNR and different kernelfunction to simulate the algorithm, The RBF kernel function has strong generalization ability,generally used in model.In addition, the thesis also studied the recognition algorithm implementation on DSP,selected TI’s TMS320C6416development board composition recognition system, includingDSP chips, power systems, JTAG emulation and on-chip memory. Software recognitionsystem, including signal generation, software development process of DSP and recognitionsystem.