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一种新颖的基于TDSA的多个正弦信号参数估计方法
A Novel Parameter Estimation Method for Sinusoid Signals Based on TDSA
【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。
【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.
【关键词】 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;
【Key words】 Signal processing; TransDimensional Simulated Annealing(TDSA); Markov chain Monte Carlo; Model selection; Penalty term; Least square;
【Key words】 Signal processing; TransDimensional Simulated Annealing(TDSA); Markov chain Monte Carlo; Model selection; Penalty term; Least square;
【基金】 国家部级基金资助课题
- 【文献出处】 电子与信息学报 ,Journal of Electronics & Information Technology , 编辑部邮箱 ,2007年01期
- 【分类号】TN911.23
- 【被引频次】3
- 【下载频次】125