基于LMS格型算法的自适应参数谱估计方法

An Estimation Method for Adaptive Parametric Spectrum Based on LMS Lattice Algorithm

研究了自适应参数谱估计的基本原理，提出了基于最小均方误差（MMSE）准则的LMS格型滤波算法实现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的同时提高运算效率，满足遥测速变信号的处理和分析计算的要求。

This paper discusses the principle of adaptive parametric spectrum estimation. It provides an approach to estimate power spectrum with a lattice filter according to the minimum mean square error （MMSE） criterion. The test resuits of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum resolution and calculation efficiency, completely meets the requirements of the telemetry data processing and analysis.