【摘要】：水下沉底或掩埋目標(biāo)識(shí)別受海底混響干擾嚴(yán)重,并且目標(biāo)回波與混響在時(shí)-頻域上均存在混疊,增大了對(duì)目標(biāo)回波與混響的分離難度。根據(jù)目標(biāo)回波與混響的產(chǎn)生機(jī)理差異,將圖像形態(tài)學(xué)與時(shí)頻分析相結(jié)合的盲分離算法用于目標(biāo)回波與混響的分離。推導(dǎo)了目標(biāo)幾何聲散射成分與混響在Wigner-Ville時(shí)頻面的形態(tài)特征表達(dá)式,利用圖像形態(tài)學(xué)濾波去除Wigner-Ville時(shí)頻面中的混響及剛性亮點(diǎn)之間交叉項(xiàng),在時(shí)頻形態(tài)特征域獲取解混矩陣,實(shí)現(xiàn)了目標(biāo)回波和混響的分離。仿真與實(shí)驗(yàn)數(shù)據(jù)處理結(jié)果表明,結(jié)合圖像形態(tài)學(xué)的時(shí)頻域盲分離算法提高了目標(biāo)回波信號(hào)的信混比。
[Abstract]:Underwater bottom or buried target identification is seriously disturbed by underwater reverberation, and the echo and reverberation of target are overlapped in time-frequency domain, which makes it more difficult to separate target echo from reverberation. According to the difference of the mechanism of target echo and reverberation, the blind separation algorithm combining image morphology and time-frequency analysis is used to separate target echo from reverberation. The morphological expression of the geometric acoustic scattering component and reverberation in the Wigner-Ville time-frequency surface is derived, and the cross terms between the reverberation and the rigid highlights in the Wigner-Ville time-frequency plane are removed by image morphological filtering. The de-mixing matrix is obtained in the time-frequency morphological feature domain, and the target echo and reverberation are separated. Simulation and experimental data processing results show that the time-frequency blind separation algorithm combined with image morphology can improve the signal mixing ratio of the target echo signal.
【作者單位】： 哈爾濱工程大學(xué)水聲技術(shù)重點(diǎn)實(shí)驗(yàn)室;哈爾濱工程大學(xué)水聲工程學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(51279033) 黑龍江省自然科學(xué)基金項(xiàng)目(F201346)資助
【分類號(hào)】：TB56

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本文編號(hào)：2367828