国防科技大学学报2024，Vol.46Issue(4)：222-228,7.DOI:10.11887/j.cn.202404024
自相关加权融合的高精度频率估计算法
High precision frequency estimation algorithm for autocorrelation weighted fusion
摘要
Abstract
In order to ensure the performance of radar countermeasure reconnaissance system in complex electromagnetic environment,a multi-segment signal frequency estimation algorithm based on autocorrelation weighted fusion was proposed.Autocorrelation processing was performed on each segment of the noisy signal to obtain a high SNR sinusoidal signal with zero initial phase and the same frequency as the original signal.The arcsine operator was used to construct a support matrix to perform real-time weighted fusion of the autocorrelated signals.The reference signal was established on the basis of the rough estimation,and the high-precision frequency estimation result was obtained by minimizing the error function.The simulation results show that,compared to existing algorithms,the algorithm not only improves the accuracy significantly,but also has stable estimation performance under the conditions of different SNRs,signal lengths and signal anomalies,while satisfying the low computational cost,which provides a reference for radar countermeasures intelligence reconnaissance based on multi-sensors.关键词
多段信号融合/频率估计/自相关/实时加权/误差函数Key words
multi-segment signal fusion/frequency estimation/autocorrelation/real-time weighting/error function分类
信息技术与安全科学引用本文复制引用
刘康,何明浩,陈昌孝,曾莎,李争..自相关加权融合的高精度频率估计算法[J].国防科技大学学报,2024,46(4):222-228,7.基金项目
国家部委基金资助项目(KJ20191A050339) （KJ20191A050339）
