基于STFT与SPWVD的跳频参数盲估计算法

发布时间：2018-05-21 00:31

本文选题：跳频 + 欠定　；参考：《华中科技大学学报(自然科学版)》2014年09期

【摘要】：为了降低欠定条件下多网台跳频信号参数盲估计误差,提出一种基于短时傅里叶变换(STFT)与平滑伪WVD分布(SPWVD)相结合的方法.该方法先对信号进行STFT,确定跳变时刻的粗估计范围,再对粗估计范围内的信号进行SPWVD,得到跳变时刻的精确估计,从而估计出跳周期.理论分析与仿真实验结果表明:所提算法在欠定条件下可有效估计出同步正交多网台跳频信号的各参数,与现有的基于时频稀疏性的时频图修正方法相比,在复杂度少量增加的前提下,参数估计误差大幅减小.当信噪比为-4dB时,跳周期、跳变时刻、载频相对估计误差降低了2个数量级,而复杂度只增加了6倍.
[Abstract]:In order to reduce the blind estimation error of multi-station frequency hopping signals under underdetermined conditions, a method based on STFT and smooth pseudo-WVD distribution (SPWVD) is proposed. In this method, first of all, STFTT is used to determine the range of rough estimation of jump time, then SPWVD is used to estimate the jump time of the signal in the range of rough estimation, and then the jump period is estimated. Theoretical analysis and simulation results show that the proposed algorithm can effectively estimate the parameters of frequency hopping signals in synchronous orthogonal multi-station networks under underdetermined conditions, compared with the existing time-frequency map correction methods based on time-frequency sparsity. With a small increase in complexity, the error of parameter estimation is greatly reduced. When the SNR is -4dB, the carrier frequency relative estimation error is reduced by two orders of magnitude, but the complexity is only increased by six times.
【作者单位】：西安电子科技大学综合业务网理论及关键技术国家重点实验室;
【基金】：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)
【分类号】：TN914.41

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