多族諧波信號估計的子空間匹配投影算法
A Method for Estimating Parameters of Multiple Harmonic Families Based on Subspace Matching Pursuit
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摘要: 該文根據(jù)子空間匹配投影分解算法，將信號自適應(yīng)地分解在諧波子空間上，得到一種多族諧波信號參數(shù)估計的方法。這種方法利用插值FFT算法和諧波參數(shù)的先驗信息，能分離基頻或諧波頻率結(jié)構(gòu)較為緊密的不同族諧波分量，諧波頻率估計精度高。仿真表明，這種新方法能準(zhǔn)確地估計基頻頻率、諧波頻率和階數(shù)，對隨機(jī)相位抖動也不敏感；用于分析實船噪聲也準(zhǔn)確反映了船舶輻射噪聲功率譜的線譜規(guī)律和特點，較好地揭示了船舶的螺旋槳現(xiàn)場實際運行狀況，是一種很有價值的多諧波參數(shù)估計方法。
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關(guān)鍵詞:
- 匹配投影;子空間;諧波;基頻
Abstract: This paper proposes a method to estimate multiple harmonic families parameters of a signal, which is based on subspace matching pursuit decomposition algorithm, and decomposes the signal into harmonic subspace adaptively. It takes advantages of interpolated FFT algorithm and the prior information of signals parameters, with high estimation precision of harmonic frequency, it has ability to distinguish signals harmonic components of different harmonic families, which have closed-spaced fundamental and harmonic frequencies. The trail indicates that it is a preferable method to estimate multiple harmonic families parameters, as it is insensitive to random phase-shift of harmonic components, and is useful to precisely estimate the fundamental, harmonic frequencies and order of a signal. This method also can be used to depict the features of a ship radiated-noise power spectrum, and to reveal the operation condition of the ship propellers. All of above show the advanced method is a valuable method for multiple harmonic parameters estimation of signals. -
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