基于矩估计/最小二乘法的杂波模型参数估计方法

A Hybrid-Estimation Method of Clutter Distribution Models Based on MOM and Least Square Method

针对传统杂波模型的参数估计方法无法兼顾计算效率和精度的问题,提出了一种基于矩估计和最小二乘法的杂波统计模型混合参数估计方法,以矩估计法得到模型参数的初始值,使用最小二乘法迭代优化得到参数估计的最终值,数字仿真的结果证明了此方法的有效性和准确性;该混合模型参数估计方法可以在计算量不大、原理简单的情况下实现模型参数的精确估计,且不局限于单一杂波模型的参数估计,具有很好的通用性和工程应用价值。

The traditional parameter estimation methods of clutter distribution models can＇t balance the calculation efficiency and accuracy. To solve this problem,a generalized hybrid-estimation method based on MOM（ method of moments） and least square method is presented. MOM is utilized to obtain the initial values of model parameters,which are iteratively optimized with least square method. The simulation results confirm the validity and accuracy of the method. The hybrid method realizes the accurate estimation of clutter parameters with little computational cost,and is not confined to the parameter estimation of any particular clutter model. It can be generally used in engineering application.