基于多项式变换的自适应Chirp信号参数估计  

Parameter estimation of adaptive Chirp signal based on polynomial phase transform

作　　者：李靖[1] 王树勋[1] 汪飞[1] 

机构地区：[1]吉林大学通信工程学院,吉林长春130022

出　　处：《吉林大学学报（工学版）》2004年第4期617-621,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金资助项目(60172032);教育部博士学科点专项基金资助项目(2001404).

摘　　要：提出了一种新的基于多项式变换的RLS(recursiveleastsquare)算法。利用多项式变换将多项式相位信号(PPS)转变为具有线性相位的谐波信号,这一谐波信号满足AR(Autoregressive)模型且其频率对应于多项式相位的最高次项系数。然后利用RLS算法对AR模型的AR系数进行自适应估计,通过AR系数求解谐波信号频率,便可以获得多项式相位中最高次项的系数。本算法速度快,计算量小,并且在较低的信噪比(SNR)下估计性能依然良好。Monte Carlo仿真实验证明了本方法的有效性。The problem of estimating the parameters of a Chirp signal was considered. A novel approach was proposed for the Chirp parameter estimation by exploiting the polynomial phase transform (PT) and the adaptive recursive least square (RLS) algorithm. The polynomial phase transform of the polynomial phase signal results in an exponential signal which satisfies the AR model. The estimation of the lower order polynomial phase coefficients can be thus adopted one by one. The main advantage of this algorithm is the improved speed of calculation, less expensive computation, and strong robustness to signal energy level. Simulations show good performance of the proposed algorithm at low signal to noise ratio (SNR).

关 键 词：信息处理技术 CHIRP信号 多项式相位信号 多项式变换 自适应 RLS算法 参数 估计 

分 类 号：TN911.72[电子电信—通信与信息系统]