›› 2015, Vol. 28 ›› Issue (1): 140-.

• 论文 • 上一篇    下一篇

基于小波变换的MSK信号码速率盲估计

郜宪锦   

  1. (西安电子科技大学 电子信息攻防对抗与仿真技术教育部重点实验室,陕西 西安 710071)
  • 出版日期:2015-01-15 发布日期:2015-01-22
  • 作者简介:郜宪锦(1987—),男,硕士研究生。研究方向:信息对抗。E-mail:gaora203@163.com

Blind Symbol Rate Estimation of MSK Signals Based on Wavelet Transform

GAO Xianjin   

  1. (Ministry of Education Key Laboratory of Electronic Information Countermeasure and Simulation,Xidian University,Xi'an 710071,China)
  • Online:2015-01-15 Published:2015-01-22

摘要:

针对最小频移键控调制信号的码速率估计问题,提出一种基于Haar小波变换的MSK信号码速率盲估计方法。首先对接收信号作傅里叶变换得到信号频谱,对频谱频点分析粗估计信号的码速率,接着通过粗估计的码速率选取短时傅里叶变换窗函数长度和3个小波尺度,利用短时傅里叶变换得到信号瞬时频率变化,再利用小波的边缘检测特性对信号瞬时频率序列相位跳变点检测,最后对检测结果作频谱分析,估计频率得到MSK信号的码速率。仿真结果表明,高于信噪比门限时本算法可以对MSK信号码速率有效估计。

关键词: 最小频移键控, 码速率, 信噪比, Haar小波

Abstract:

A new blind estimation algorithm is proposed for the symbol rate estimation of minimum-shift keying (MSK) signals based on wavelet transform.Firstly the Fourier transform of received signals is applied to the spectrum,and then the symbol rate is coarse estimated to choose STFT window length and three wavelet scales.The changes in signal instantaneous frequency are obtained according to STFT,and the jump of phase of the signal instantaneous frequency is detected using Haar wavelet.Finally,the symbol rate of MSK signals is estimated according to the analysis of the spectrum of the test results.The results show the method can estimate the symbol rate effectively when the signal to noise ratio (SNR) is higher than the threshold.

Key words: MSK;symbol rate;SNR;Haar wavelet

中图分类号: 

  • TN911.23