本文關(guān)鍵詞： 傳聲器陣列 聲源識(shí)別 廣義逆波束形成 高階矩陣函數(shù)　出處：《振動(dòng)與沖擊》2017年10期 　論文類型：期刊論文

【摘要】：廣義逆波束形成是一種高效的聲源識(shí)別定位方法,然而其計(jì)算穩(wěn)健性易受隨機(jī)噪聲影響,阻礙了其聲源識(shí)別動(dòng)力學(xué)水平進(jìn)一步提高。為改善廣義逆波束形成聲源識(shí)別方法的穩(wěn)健性,基于高階矩陣函數(shù)提出一種廣義逆波束形成改進(jìn)算法:定義了基于廣義逆波束形成的正則化矩陣;對(duì)正則化矩陣與波束形成輸出進(jìn)行迭代運(yùn)算;利用高階矩陣函數(shù)對(duì)迭代求解所得廣義逆波束形成輸出的互譜進(jìn)行優(yōu)化。通過(guò)數(shù)值仿真詳細(xì)分析了聲源頻率對(duì)波束形成矩陣函數(shù)階次取值的影響,得到階次的最優(yōu)取值區(qū)間。最后通過(guò)數(shù)值模型和實(shí)驗(yàn)算例對(duì)單極子與相干聲源進(jìn)行定位識(shí)別,結(jié)果表明:改進(jìn)算法在準(zhǔn)確識(shí)別聲源基礎(chǔ)上能有效抑制旁瓣干擾,且具有更高的聲源識(shí)別精度。
[Abstract]:Generalized inverse beamforming is an efficient method for acoustic source identification and localization, but its computational robustness is easily affected by random noise. In order to improve the robustness of the generalized inverse beamforming acoustic source recognition method, An improved algorithm of generalized inverse beamforming based on higher-order matrix function is proposed: the regularization matrix based on generalized inverse beamforming is defined, and the regularization matrix and beamforming output are iterated. The cross-spectrum of the generalized inverse beamforming output obtained by iteration is optimized by using high-order matrix function. The influence of sound source frequency on the order of beamforming matrix function is analyzed in detail by numerical simulation. The optimal value interval of order is obtained. Finally, the location recognition of monopole and coherent sound source is carried out by numerical model and experimental example. The results show that the improved algorithm can effectively suppress sidelobe interference on the basis of accurate identification of sound source. And has higher sound source recognition accuracy.
【作者單位】： 重慶大學(xué)汽車工程學(xué)院;重慶大學(xué)機(jī)械傳動(dòng)國(guó)家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(51275540) 重慶市重大應(yīng)用開(kāi)發(fā)計(jì)劃項(xiàng)目(cstc2015yykf C60003)
【分類號(hào)】：TN641

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本文編號(hào)：1539086