【摘要】：針對水下目標的遠程被動探測問題,提出了一種聲矢量圓陣的寬帶相干目標方位估計方法.首先,基于子帶分解原理將寬帶劃分為若干不重疊窄帶,根據(jù)圓陣模式空間變換理論,將聲矢量圓陣轉(zhuǎn)換成與頻率無關(guān)的虛擬直線陣,并采用聲壓P與振速(V_r+V_φ)聯(lián)合處理方法構(gòu)建了每個窄帶的互協(xié)方差矩陣,通過求和平均實現(xiàn)了寬帶接收信號的互協(xié)方差矩陣估計;其次,引入一種修正的矢量奇異值分解算法,對接收相干信號的互協(xié)方差矩陣進行重構(gòu)處理,用于解決相干聲源的空間分辨問題;最后,利用MUSIC算法實現(xiàn)了聲矢量圓陣寬帶相干目標的方位估計.理論分析及仿真結(jié)果表明,修正的矢量奇異值分解算法較修正前具有更強的空間分辨能力;P×(V_r+V_φ)聲壓振速聯(lián)合處理方法較同陣型的聲壓陣及其他聲壓振速聯(lián)合處理方法(即(P+V_c)×V_c、P×V_c)具有更好的背景噪聲抑制能力;將P×(V_r+V_φ)聲壓振速聯(lián)合處理方法與修正的矢量奇異值分解算法有機地結(jié)合起來,可提高寬帶相干源的方位估計性能.水池實驗結(jié)果進一步驗證了算法的有效性.
[Abstract]:A wideband coherent target azimuth estimation method based on circular array of acoustic vectors is proposed to solve the problem of long range passive detection of underwater targets. Firstly, based on the principle of subband decomposition, the wideband is divided into several nonoverlapping narrow bands. According to the theory of mode space transformation of circular array, the circular array of acoustic vectors is converted into a virtual linear array independent of frequency. The cross covariance matrix of each narrow band is constructed by combining sound pressure P and vibration velocity (VStP), and the estimation of cross covariance matrix of wideband received signals is realized by summation. Secondly, a modified vector singular value decomposition algorithm is introduced. The cross-covariance matrix of received coherent signals is reconstructed to solve the spatial resolution problem of coherent acoustic sources. Finally, the azimuth estimation of wideband coherent targets of acoustic vector circular array is realized by using MUSIC algorithm. Theoretical analysis and simulation results show that, The modified vector singular value decomposition (VSVD) algorithm has stronger spatial resolution than that before the modification. P 脳 (VSV _ 蠁) combined processing method of sound pressure velocity is better than that of the same array and other combined processing methods (i.e. (P _ VVC) 脳 VV _ c 脳 V _ (C) of sound pressure and vibration velocity (i.e. (P _ V _ c) 脳 V _ c 脳 V _ (C). Scene noise suppression ability; The combination of the P 脳 (V _ (V _ 蠁) acoustic pressure and the modified vector singular value decomposition algorithm can improve the azimuth estimation performance of wideband coherent sources. The effectiveness of the algorithm is further verified by the experimental results of the pool.
【作者單位】： 哈爾濱工程大學(xué)水聲工程學(xué)院;哈爾濱工程大學(xué)水聲技術(shù)重點實驗室;
【基金】：長江學(xué)者和創(chuàng)新團隊發(fā)展計劃(IRT_16R17) 國家自然科學(xué)基金(11404076)
【分類號】：TN911.23

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