一种新颖的基于TDSA的多个正弦信号参数估计方法

梁军利; 杨树元; 高丽

doi:10.3724/SP.J.1146.2005.00567

一种新颖的基于TDSA的多个正弦信号参数估计方法

doi: 10.3724/SP.J.1146.2005.00567

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国家部级基金资助课题

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出版历程
- 收稿日期: 2005-05-19
- 修回日期: 2005-09-28
- 刊出日期: 2007-01-19

A Novel Parameter Estimation Method for Sinusoid Signals Based on TDSA

摘要

摘要: 该文提出了一种基于跨维模拟退火(TDSA)算法联合估计实正弦信号个数及频率的新方法。该文在跨维模拟退火算法基础上，引入惩罚因子，通过最小二乘精简采样参数，在高斯白噪声中检测正弦信号的个数及频率。仿真证实，该方法具有较好的效果。
- 信号处理;跨维模拟退火;马尔柯夫链蒙特卡洛;模型选择;惩罚因子;最小二乘
Abstract: This paper presents a new method of estimating numbers and frequencies for sinusoid signals based on TransDimensional Simulated Annealing(TDSA) algorithm. This paper introduces penalty term and least square into TDSA, and gives a method that simultaneously estimates the numbers and frequencies of sinusoids signals in white gaussian noise. Finally, the validity of this method is well verified by the simulation.

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