本文選題：噪聲自相關(guān)　切入點(diǎn)：散射體被動(dòng)探測(cè)　出處：《物理學(xué)報(bào)》2017年19期 　論文類型：期刊論文

【摘要】：提出了一種利用海浪噪聲自相關(guān)實(shí)現(xiàn)散射體無(wú)源探測(cè)的新方法.將各接收器記錄噪聲信號(hào)的自相關(guān)減去所有接收器記錄噪聲信號(hào)自相關(guān)的平均值,得到散射信號(hào)的到達(dá)結(jié)構(gòu),然后結(jié)合基爾霍夫移位算法實(shí)現(xiàn)對(duì)散射體的探測(cè).與利用背景噪聲互相關(guān)提取格林函數(shù)從而實(shí)現(xiàn)散射體探測(cè)的方法不同,自相關(guān)無(wú)需考慮各個(gè)接收器之間的大量數(shù)據(jù)傳輸及時(shí)間同步問(wèn)題,這為相距較遠(yuǎn)的多接收器和移動(dòng)平臺(tái)目標(biāo)探測(cè)提供了極大的方便.將所提出的方法應(yīng)用于實(shí)驗(yàn)數(shù)據(jù)中,最終探測(cè)結(jié)果與實(shí)際測(cè)量結(jié)果相比差別不大,驗(yàn)證了方法的有效性.
[Abstract]:In this paper, a new method for passive detection of scatterers using wave noise autocorrelation is proposed. The autocorrelation of noise signals recorded by each receiver is subtracted from the average values of autocorrelation of noise signals recorded by all receivers, and the arrival structure of scattering signals is obtained. Then, the detection of scatterers is realized by using Kirchhoff shift algorithm, which is different from the method of extracting Green's function by cross-correlation of background noise to realize the detection of scatterers. Autocorrelation does not take into account the problem of large amount of data transmission and time synchronization between various receivers, which provides great convenience for target detection of multi-receivers and mobile platforms far away. The proposed method is applied to experimental data. The difference between the final detection results and the actual measurement results is not significant, which verifies the effectiveness of the method.
【作者單位】： 中國(guó)海洋大學(xué)海洋技術(shù)系;
【基金】：國(guó)家自然科學(xué)基金(批準(zhǔn)號(hào):11674294,11374270,11374271) 青島海洋科學(xué)與技術(shù)國(guó)家實(shí)驗(yàn)室基金(批準(zhǔn)號(hào):QNLM20160RP0106)資助的課題~~
【分類號(hào)】：P733.22
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本文編號(hào)：1572914