一種可用于聲目標特征提取的超分辨率混合譜估計算法
A SUPERRESOLUTION MIXED SPECTRAL ESTIMATION ALGORITHM USED FOR ACOUSTIC TARGET FEATURE EXTRACTION
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摘要: 本文研究了一種估計有色噪聲中多組諧波信號參數(shù)的去耦參數(shù)估計算法。其中提出了一種基于FFT的諧波組迭代清除算法來估計諧波信號的參數(shù),并根據(jù)諧波圖的值來確定諧波信號的個數(shù)。該算法不僅計算簡單并可獲得較高的頻率分辯率,而且對信號模型具有較強的魯棒性。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.
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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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