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一種可用于聲目標(biāo)特征提取的超分辨率混合譜估計(jì)算法

丁慶海,  祝龍石,  李田澤,  張清泰

丁慶海, 祝龍石, 李田澤, 張清泰. 一種可用于聲目標(biāo)特征提取的超分辨率混合譜估計(jì)算法[J]. 電子與信息學(xué)報(bào), 1998, 20(3): 296-301.
引用本文: 丁慶海, 祝龍石, 李田澤, 張清泰. 一種可用于聲目標(biāo)特征提取的超分辨率混合譜估計(jì)算法[J]. 電子與信息學(xué)報(bào), 1998, 20(3): 296-301.
Ding Qinghai, Zhu Longshi, Li Tianze, Zhang Qingtai. A SUPERRESOLUTION MIXED SPECTRAL ESTIMATION ALGORITHM USED FOR ACOUSTIC TARGET FEATURE EXTRACTION[J]. Journal of Electronics & Information Technology, 1998, 20(3): 296-301.
Citation: Ding Qinghai, Zhu Longshi, Li Tianze, Zhang Qingtai. A SUPERRESOLUTION MIXED SPECTRAL ESTIMATION ALGORITHM USED FOR ACOUSTIC TARGET FEATURE EXTRACTION[J]. Journal of Electronics & Information Technology, 1998, 20(3): 296-301.

一種可用于聲目標(biāo)特征提取的超分辨率混合譜估計(jì)算法

A SUPERRESOLUTION MIXED SPECTRAL ESTIMATION ALGORITHM USED FOR ACOUSTIC TARGET FEATURE EXTRACTION

  • 摘要: 本文研究了一種估計(jì)有色噪聲中多組諧波信號(hào)參數(shù)的去耦參數(shù)估計(jì)算法。其中提出了一種基于FFT的諧波組迭代清除算法來(lái)估計(jì)諧波信號(hào)的參數(shù),并根據(jù)諧波圖的值來(lái)確定諧波信號(hào)的個(gè)數(shù)。該算法不僅計(jì)算簡(jiǎn)單并可獲得較高的頻率分辯率,而且對(duì)信號(hào)模型具有較強(qiáng)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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出版歷程
  • 收稿日期:  1997-01-17
  • 修回日期:  1997-09-11
  • 刊出日期:  1998-05-19

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