一种可用于声目标特征提取的超分辨率混合谱估计算法
A SUPERRESOLUTION MIXED SPECTRAL ESTIMATION ALGORITHM USED FOR ACOUSTIC TARGET FEATURE EXTRACTION
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摘要: 本文研究了一种估计有色噪声中多组谐波信号参数的去耦参数估计算法。其中提出了一种基于FFT的谐波组迭代清除算法来估计谐波信号的参数,并根据谐波图的值来确定谐波信号的个数。该算法不仅计算简单并可获得较高的频率分辩率,而且对信号模型具有较强的鲁棒性。
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关键词:
- 去耦参数估计; 谱估计; 特征提取
Abstract: In this paper, A decoupled parameter estimation(DPE) algorithm for estimating parameters of the harmonic-group signal in colored noise is researched. In this algorithm, a iterated harmonic-group clean algorithm is presented to obtain the estimates of the parameters of the harmonic signal based on FFT. Then, the harmogram is used to decide the number of the harmonic signal. This algorithm not only is computationally simple and can provide supperresolution frequency estimation, but also is robust to mismodeling errors. -
Hinich M, J. Detecting a hidden periodic signal when its period is unknown. IEEE Trans.on Signal Processing, 1982, SP-30(5): 747-750.[2]Hwang J, Chen Y. Superresolution frequency estimation by alternating notch periodogram. IEEE Trans. on Signal Processing, 1993, SP-41(2): 727-741.[3]Li J, Stoica P. Efficient mixed-spectrum estimation with applications to target feature extraction. IEEE Trans. on Signal Processing, 1996, SP-44(2): 281-295.[4]Gough P,T. A fast spectral estimation algorithm based on the FFT. IEEE Trans. on Signal Processing, 1994, SP-42(6): 1317-1322.[5]Stoica P, Nehorai A. Statistical analysis of two nonlinear least squares estimators of sinewave parameters in the colored-noise case. Circuits, Syst. and Signal Processing. 1989, 8(1): 3-15. -
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