YANG Xin, GUO Ying. Parameter estimation of frequency hopping signals based on quadratic iterative sparse reconstruction[J]. 2019, (10): 44-46+50. DOI: 10.13873/j.1000-9787(2019)10-0044-03.
基于二次迭代稀疏重构的跳频信号参数估计
摘要
为了解决现有参数估计方法中时频聚集性不强
低信噪比下估计精度不高问题
提出了一种基于二次迭代稀疏重构的跳频信号参数估计方法。根据跳频信号的时频稀疏性进行稀疏重构
获取信号的时频分布矩阵;通过分析时频分布矩阵的特点
对信号进行二次迭代稀疏重构
获取二次时频分布矩阵。为了提高在低信噪比下算法性能
采用二值形态学滤波对时频图进行处理
进而实现信号的良好参数估计。仿真结果表明:该算法能够有效地提高参数估计精度
在低信噪比下有良好的估计效果。
Abstract
In order to solve the problem that the time-frequency aggregation is not strong in the existing parameter estimation method and the estimation accuracy is low under low SNR
a parameter estimation method of frequency hopping signal based on quadratic iterative sparse reconstruction(QISR) is proposed.Firstly
sparse reconstruction is performed according to the time-frequency sparseness of the frequency-hopping signal
and the time-frequency distribution matrix of the signal is obtained.Then
by analyzing the characteristics of the time-frequency distribution matrix
the signal is subjected to quadratic iterative sparse reconstruction to obtain the quadratic time-frequency distribution matrix.In addition
in order to improve the performance of the algorithm at low SNR
binary morphological filtering is used for processing of the time-frequency diagram.Then good parameter estimation of the signal is achieved.The simulation results show that the proposed algorithm can effectively improve the precision of parameter estimation and has a good estimation effect under low SNR.