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基于瞬时相位差分的MFSK符号率估计方法
引用本文:许华,江汉,闫哲. 基于瞬时相位差分的MFSK符号率估计方法[J]. 科学技术与工程, 2014, 14(29)
作者姓名:许华  江汉  闫哲
作者单位:1. 空军工程大学信息与导航学院,西安,710077
2. 北京理工大学机电工程与控制国家重点实验室,北京,100081
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:对数字通信信号的符号速率估计是电磁频谱监控、通信侦察分析等非合作接收领域的重要研究内容。提出了一种MFSK信号的符号速率估计新方法,通过对信号样本求取瞬时相位差分并联合非线性变换及小波分析的方法,实现了对符号速率的准确检测,并大大提高了估计方法在低信噪比条件下的适应性;在此基础上进一步提出了低信噪比条件下基于估计结果后处理的性能改进方法,能够再提高3 dB的估计性能。仿真验证了新算法和改进方法在低信噪比条件下的估计性能。

关 键 词:低信噪比  符号速率估计  小波分析  非线性变换  瞬时相位
收稿时间:2014-05-19
修稿时间:2014-06-16

Instantaneous Phase Difference BasedSymbol Rate Estimation Method for MFSK Signals
XU Hu,and YAN Zhe. Instantaneous Phase Difference BasedSymbol Rate Estimation Method for MFSK Signals[J]. Science Technology and Engineering, 2014, 14(29)
Authors:XU Hu  and YAN Zhe
Affiliation:National Key Laboratory of Mechatronic Engineering and Control,Beijing Institute of Technology
Abstract:The symbol rate estimation for digital communication signals is an important research content of un-cooperate receiving region such as electromagnetic spectrum surveillance and communication reconnaissance. A novel symbol rate estimation method by computing the instantaneous phase difference sequence and combining non-linear transformation and wavelet analysis method is presented in this paper, which have great performance improvement in low SNR comparing with the method before. Furthermore, the method of performance improvement for low SNR based on post-processing the estimation results is presented in this paper, and it can promote the estimation performance for 3 dB once more. At last, the performance of the novel estimation algorithm and further improving method are validated by computer simulation.
Keywords:Low Signal-Noise-Ratio   Symbol rate estimation   wavelet analyze   non-linear transformation   Instantaneous Phase
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