华中科技大学学报（自然科学版）Issue(9)：59-63,5.DOI:10.13245/j.hust.140913
基于STFT与SPWVD的跳频参数盲估计算法
Blind parameter estimation algorithm for frequency hopping signals based on STFT and SPWVD
摘要
Abstract
To lower the blind parameter estimation errors of multiple frequency hopping (FH) signals in the underdetermined situation ,an algorithm based on the combination of short time Fourier trans-form (STFT) and smoothed pseudo Wigner-Ville distribution (SPWVD) was proposed .The STFT was applied to the signals firstly ,and then the rough ranges of the hopping times were obtained .The accurate estimation of the hopping instants was identified by employing SPWVD to the rough ranges , then the hopping period was obtained .Theoretical analysis and experimental results show that this method can effectively estimate the parameters of multiple FH signals in a synchronous orthogonal network in the underdetermined situation .Compared to the existing modification method for time-fre-quency (TF) pattern of FH signals ,even though the computation complexity increases a little ,the es-timation errors are much better .When the signal noise ratio (SNR) is -4 dB ,the relative errors of the hopping period ,hopping time and frequencies lower two orders of magnitude ,while the computa-tion complexity increases only about 6 times .关键词
跳频/欠定/参数盲估计/短时傅里叶变换(STFT)/平滑伪WVD分布(SPWVD)Key words
frequency hopping/underdetermined/blind parameter estimation/STFT/SPWVD分类
信息技术与安全科学引用本文复制引用
付卫红,王璐,贾坤,路贵朝..基于STFT与SPWVD的跳频参数盲估计算法[J].华中科技大学学报（自然科学版）,2014,(9):59-63,5.基金项目
国家自然科学基金资助项目（61201134，61201135）；中央高校基本科研业务费专项资金资助项目（72124669）；高等学校学科创新引智计划资助项目（B08038）；国家重大科研专项资助项目（2012ZX03001027-001）． （）
