一種基于中心矩的波束形成算法
發(fā)布時(shí)間：2018-12-15 16:38
【摘要】：高分辨水下目標(biāo)探測(cè)一直是水聲信號(hào)處理中的重要課題之一.然而許多高分辨算法如MUSIC,ESPRIT需要對(duì)信源數(shù)進(jìn)行預(yù)估,估計(jì)的精確度對(duì)算法性能影響很大,制約了算法的實(shí)用性.本文提出了一種新的高分辨方位估計(jì)算法,中心矩波束形成算法.該方法利用了加權(quán)基元信號(hào)的各階中心矩,無(wú)需先驗(yàn)信息.本文詳細(xì)論述了中心矩波束形成算法的原理,對(duì)比其他算法指出了該算法性能上的優(yōu)勢(shì).計(jì)算機(jī)仿真實(shí)驗(yàn)表明:中心矩波束形成算法擁有良好的分辨率和旁瓣級(jí),與理論分析的結(jié)論一致.
[Abstract]:High resolution underwater target detection is one of the most important subjects in underwater acoustic signal processing. However, many high-resolution algorithms, such as MUSIC,ESPRIT, need to estimate the number of sources, and the accuracy of estimation has a great impact on the performance of the algorithm, which restricts the practicability of the algorithm. In this paper, a new high resolution azimuth estimation algorithm, the center moment beamforming algorithm, is proposed. The method makes use of the central moments of the weighted primitive signal without prior information. In this paper, the principle of the center moment beamforming algorithm is discussed in detail, and the advantages of the algorithm are pointed out compared with other algorithms. The computer simulation results show that the central moment beamforming algorithm has good resolution and sidelobe level, which is consistent with the theoretical analysis.
【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(guó)家自然科學(xué)基金(No.51279033) 黑龍江省自然科學(xué)基金(No.F201346)
【分類(lèi)號(hào)】：TN911.7
[Abstract]:High resolution underwater target detection is one of the most important subjects in underwater acoustic signal processing. However, many high-resolution algorithms, such as MUSIC,ESPRIT, need to estimate the number of sources, and the accuracy of estimation has a great impact on the performance of the algorithm, which restricts the practicability of the algorithm. In this paper, a new high resolution azimuth estimation algorithm, the center moment beamforming algorithm, is proposed. The method makes use of the central moments of the weighted primitive signal without prior information. In this paper, the principle of the center moment beamforming algorithm is discussed in detail, and the advantages of the algorithm are pointed out compared with other algorithms. The computer simulation results show that the central moment beamforming algorithm has good resolution and sidelobe level, which is consistent with the theoretical analysis.
【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(guó)家自然科學(xué)基金(No.51279033) 黑龍江省自然科學(xué)基金(No.F201346)
【分類(lèi)號(hào)】：TN911.7
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