一种新的Costas跳频信号盲参数估计算法  

A novel blind parameter estimation algorithm of Costas frequency hopping signals

作　　者：袁伟明[1] 王敏[1] 吴顺君[1] 

机构地区：[1]西安电子科技大学雷达信号处理重点实验室,陕西西安710071

出　　处：《电路与系统学报》2007年第4期60-63,共4页Journal of Circuits and Systems

基　　金：重点实验室基金资助项目(51431050103ZS0106)

摘　　要：本文以Costas信号为例提出了基于高斯基集的跳频信号自适应分解法,将跳频信号分解为一组高斯基函数的线性叠加。采用遗传算法估计与信号最匹配的高斯基函数。和其它方法相比,该方法具有很高的时频分辨率且无交叉项干扰,参数估计精度高。仿真结果证明了该方法的有效性,适合于低截获概率波形的低信噪比情况。The adaptive decomposition of hopping signal based on Gaussian elementary is presented in this paper, with Costas signal represented by a class of Gaussian elementary function. Gaussian elementary function matched well with signal is estimated by Genetic algorithm. Comparison with other methods, this novel method has the characteristic of cross-term interference free and better time and frequency resolution, with high parameter estimation accuracy. Simulation results indicate that it＇s effective even at low SNR of low probability of intercept waveforms.

关 键 词：Costas跳频信号 高斯函数 自适应分解 遗传算法 低截获概率 

分 类 号：TN911[电子电信—通信与信息系统]