基于記憶因子的連續(xù)相位調(diào)制信號(hào)最大似然調(diào)制識(shí)別

吳斌; 袁亞博; 汪勃

doi:10.11999/JEIT151445

基于記憶因子的連續(xù)相位調(diào)制信號(hào)最大似然調(diào)制識(shí)別

doi: 10.11999/JEIT151445

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出版歷程
- 收稿日期: 2015-12-17
- 修回日期: 2016-05-10
- 刊出日期: 2016-10-19

Maximum Likelihood Modulation Recognition for Continuous Phase Modulation Signals Using Memory Factor

摘要

摘要: 為解決有記憶非線性的連續(xù)相位調(diào)制(CPM)信號(hào)調(diào)制方式識(shí)別精度低的問題，該文提出一種基于記憶因子的CPM信號(hào)最大似然調(diào)制識(shí)別新方法。該方法定義具有時(shí)齊馬爾科夫性的映射符號(hào)，通過計(jì)算其后驗(yàn)概率構(gòu)造記憶因子，進(jìn)一步結(jié)合CPM分解和EM算法，推導(dǎo)出時(shí)間可分離，信道參數(shù)可估計(jì)的CPM信號(hào)似然函數(shù)。該調(diào)制識(shí)別方法所需符號(hào)數(shù)目少，適用信噪比范圍廣，識(shí)別CPM信號(hào)種類多且精度高，對(duì)相位誤差魯棒性強(qiáng)。仿真結(jié)果證明，當(dāng)符號(hào)數(shù)目為200，信噪比為0 dB，相位誤差任意時(shí)，該方法對(duì)8種CPM信號(hào)的識(shí)別率可達(dá)95%以上。
- 信號(hào)處理 /
- 調(diào)制識(shí)別 /
- 連續(xù)相位調(diào)制 /
- 最大似然 /
- EM算法
Abstract: In order to solve the problem of low recognition accuracy of Continuous Phase Modulation (CPM) which is non-linear and with memory, a new maximum likelihood modulation recognition approach using memory factor is proposed in this paper. The approach defines the mapping symbol which has the time-homogeneous Markov property and generates the memory factor by calculating the posterior probability of the mapping symbol. Then, combining with the CPM decomposition and the EM algorithm, the time separable and channel parameter estimable likelihood function is deduced for CPM signals. The proposed approach has characters of low required symbol number, wide range of applicable SNR, large variety of recognizable CPM signals, high recognition accuracy and strong robustness to phase error. Simulation results show that the recognition rate of 8 kinds of CPM signals can reach more than 95% when the symbol number is 200, SNR is 0 dB and the phase error is arbitrary.
- Signal processing /
- Modulation recognition /
- Continuous Phase Modulation (CPM) /
- Maximum likelihood /
- EM algorithm

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