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小波脊线法在无源定位频率估计中的应用 被引量:2

Application of Wavelet Ridge to Frequency Estimation of Passive Location
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摘要 为了解决信噪比影响以及参数估计定阶的问题.从渐进信号的小波脊线出发,根据小波脊线的迭代算法以及瞬时频率与小波脊线之间的关系,对非合作源信号频率进行估计.仿真表明该方法测量频率精度高、抗噪性能强,在信噪比SNR≥5 dB条件下,对于定位技术中所用调制信号、频率估计误差最大值不到0.006%,在信号中间段频率估计误差低于0.004%,信号提取的估计误差最大值不到1%. In order to solve the effect of the SNR and the problem of parameter estimation ,this article is based on the wavelet ridge of asymptotical signal, and the relation between instantaneous frequency and wavelet ridge, the authors make use of this theory to solve the instantaneous frequency measurements of noncooperated signal. The matlab simulation has been carried on. The result has verified the feasibility and precision of the method in the condition of SNR≥5 dB. For all kinds of modulation signal of the location technology, the maximum error of frequency measurement is less than 0. 006%,in the middle of the signal wave , the error of frequency measurement is less than 0. 004, the maximum value of estimation error of signal acquisition is less than 1%.
出处 《西安工业大学学报》 CAS 2008年第1期54-57,共4页 Journal of Xi’an Technological University
基金 航天支撑技术基金(N7CH0004)
关键词 小波脊线 频率估计 调频信号 无源定位 wavelet ridge frequency measurements FM signal passive location
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参考文献3

  • 1[1]Sharman K,Friedlander B.Time-varying Auto-regressive Modeling of A Class of Non-stationary Signals[C]//Proceedings of ICASSP84.San Franxisco:CA,1984:221.
  • 2[2]Beex A A,Peijun Shan.A Time-varying Prony Method for Instantaneous Frequency Estimation at Low SNR[C]//IEEE International Symposium on Circuits and Systems.[S.L.]:ISCAS,1999:5.
  • 3[6]Staszewski W J.Identification of Non-linear Systems Using Multi-Scale Ridges and Skeletons of The Wavelet Transform[J].Journal of Sound and Vibration,1998,214(4):639.

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