波谱学杂志 ›› 1998, Vol. 15 ›› Issue (1): 57-64.

• 研究论文 • 上一篇    下一篇

对低信噪比非稳定信号的参数估计MESPRIT

王成发, 黄永仁   

  1. 华东师范大学分析测试中心, 上海 200062
  • 收稿日期:1997-08-09 出版日期:1998-02-05 发布日期:2018-01-13
  • 作者简介:王成发,男,29岁,博士生,讲师
  • 基金资助:
    国家自然科学基金与国家教委博士点基金资助项目

MESPRIT: A NEW ALGORITHM OF ESTIMATING PARAMETERS FOR UNSTABLE SIGNALS WITH LOW SIGNAL-TO-NOISE RATIO

Wang Chengfa, Huang Yongren   

  1. Analytical Center NMR Lab, East China Normal University, Shanghai, 200062
  • Received:1997-08-09 Online:1998-02-05 Published:2018-01-13

摘要: 对振幅衰减和信噪比极低的信号进行参数估计,最常用的傅氏变换以及大多数现代信号参数估计方法(如,最大熵法MEM、线性预测奇异分解法LPSVD等),其结果都不能令人满意.本文针对信号衰减、信噪比极低的特点,改进了基于旋转不变技术的信号参数的估计方法(MESPRIT),并给出几种估计方法的对比仿真结果.

关键词: 衰减信号, 信噪比, 旋转不变技术, 定阶

Abstract: For signals which have the damped amplitude and very low signal-to-noise ratio, the most commonly used methods to estimate parameters are FT, MEM, LPSVD and so on.The results yielded, however, are not satisfactory.Taking the features of the signals into consideration, this paper provides an algorithm modified according to ESPRIT (estimation of signal parameters via rotational invariance techniques)and better results are obtained. A comparison of simulated results with several estimation methods is also given.

Key words: Damped Signals, SNR, Rotational Invariance Techniques, Order Selection