一种基于ARMA模型的欠定混合快速跳频信号参数盲估计算法  

A Blind Parameter Estimation Algorithm of Fast Frequency Hopping Signals for Underdetermined Situation Based on ARMA Model

作　　者：付卫红[1] 武少豪 张凡路 路贵朝 

机构地区：[1]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,西安710071

出　　处：《北京邮电大学学报》2014年第5期16-19,共4页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(61201134;61201135);中央高校基本科研业务费专项资金项目(72124669)

摘　　要：针对欠定情况下的快速跳频信号的参数估计问题,在基于自回归滑动平均(ARMA)模型的跳变点检测方法的基础上,提出了一种改进的快速跳频信号参数盲估计算法.通过跳周期修正ARMA模型预测点和傅里叶变换分别得到准确的跳变时刻和载频估计,从而实现快速跳频信号的参数估计.实验结果表明,该算法在欠定条件下,当信噪比大于10 dB时,相对现有算法跳变点检测准确率增加了5倍左右,检测准确的概率可以达到90%以上.Aiming at the parameter estimation of the fast frequency hopping signals for underdetermined situation, an improved blind parameter estimation algorithm was proposed, considering the hopping in- stants detection method based on autoregressive moving average （ARMA） model. The parameter estima- tion of the fast frequency hopping signals was realized by modifying the time-hopping sequence according to the hop duration and Fourier transform. Experiments show the estimation accuracy of the algorithm can reach more than 90% , about five times increasing compared with the existing algorithm for underdeter- mined situation when the signal to noise ratio is greater than 10 dB.

关 键 词：快速跳频 参数盲估计 欠定混合 

分 类 号：TN911.4[电子电信—通信与信息系统]