| 噪声背景下正弦信号频率估计:基于约束广义逆的总体最小二乘方法 |
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| 引用本文： | 向前,林春生.噪声背景下正弦信号频率估计:基于约束广义逆的总体最小二乘方法[J].信号处理,2004,20(5):529-532. |
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| 作者姓名： | 向前 林春生 |
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| 作者单位： | 海军工程大学研究生四队,武汉,430033 |
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| 摘 要： | 分析了噪声背景下实谐波过程ARMA模型系数之间的对称性,并以此为约束条件加入到ARMA谱估计方法的求解过程中,从而提出了一种改进的正弦信号频率估计方法。理论分析与计算机仿真表明,对于低信噪比条件下的正弦信号参量估计,这一算法的分辨率与精度都优于MUSIC方法和仅使用总体最小二乘法(SVD-TLS)的ARMA谱估计方法。
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| 关 键 词： | 约束广义逆 总体最小二乘法 谐波恢复 弱信号检测 |
| 修稿时间： | 2003年7月11日 |
Estimation of Sinusoidal Frequencies in Noise:SVD-TLS Based on Constrained Generalized Inverse Matrix |
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| Xiang Qian Lin Chunsheng.Estimation of Sinusoidal Frequencies in Noise:SVD-TLS Based on Constrained Generalized Inverse Matrix[J].Signal Processing,2004,20(5):529-532. |
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| Authors: | Xiang Qian Lin Chunsheng |
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| Abstract: | In this paper symmetry among coefficients of ARMA model of real harmonic process in noise is analyzed and added into the estimation process of sinusoidal frequencies based on ARMA method as constraint condition. Theoretical analyses and computer simulation shows this method performs better in resolution and precision of estimation of sinusoidal frequencies in strong background noise than MUSIC method and ARMA method that use only SVD-TLS. |
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| Keywords: | constrained generalized inverse matrix SVD-TLS harmonic retrieval detection of weak signal |
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