基于傅里叶积分法的高分辨自适应波束形成
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- 英文论文题名：On high-resolution adaptive beamforming based on Fourier integral method
- 论文作者：刘雄厚 ; 刘清宇 ; 袁延艺 ; 孟荻 ; 余赟
- 英文论文作者：LIU Xionghou ; LIU Qingyu ; YUAN Yanyi ; MENG Di ; YU Yun ; Naval Academy of Armament ; State Key Laboratory of Acoustics ; Institute of Acoustics ; Chinese Academy of Sciences
- 年：2016
- 作者机构：海军装备研究院;中国科学院声学研究所声场声信息国家重点实验室;
- 论文关键词：傅里叶积分法 ; 逆波束形成 ; 拖曳阵 ; 虚拟阵列 ; 自适应波束形成
- 英文论文关键词：adaptive beamforming ; Fourier integral method(FIM) ; inverse beamforming(IBF) ; towed array ; virtual array
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：U666.7
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：495k
- 原文格式：D
- 会议级别：全国
摘要
针对水下航行器小孔径拖曳阵多目标分辨能力有限的问题,提出了基于傅里叶积分法的高分辨自适应波束形成方法。该方法借鉴傅里叶积分法的基本思想,首先对阵列采样协方差矩阵进行Toeplitz平均获得孔径拓展的虚拟阵列,接着对虚拟阵列(即Toeplitz平均后的输出)进行子阵平滑和自适应波束形成,最终获得高分辨多目标测角结果。所提方法既利用了傅里叶积分法的Toeplitz平均处理的噪声抑制能力,又获得了虚拟阵列的孔径拓展效果。通过理论分析和数值仿真证明,所提方法可以在较低信噪比下获得优于传统自适应波束形成的测角性能。
To address the problem of low bearing estimation ability of a uniform linear array towed by an autonomous underwater vehicle(AUV), we propose a high-resolution adaptive beamforming method based on the Fourier integral method(FIM). Borrowing from the basic idea of FIM, the proposed method firstly conduct the Toeplitz averaging on the array sampled covariance matrix to produce the aperture-extended virtual array; then it uses the sub-array smoothing across the virtual array, and subsequently conduct the adaptive beamforming to output the bearing estimation result. We show that the proposed method makes use of the noise suppression ability of the Toeplitz averaging in typical FIM, and also obtains the extended aperture of the virtual array. Numerical simulations demonstrate the effectiveness of the proposed method.
To address the problem of low bearing estimation ability of a uniform linear array towed by an autonomous underwater vehicle(AUV), we propose a high-resolution adaptive beamforming method based on the Fourier integral method(FIM). Borrowing from the basic idea of FIM, the proposed method firstly conduct the Toeplitz averaging on the array sampled covariance matrix to produce the aperture-extended virtual array; then it uses the sub-array smoothing across the virtual array, and subsequently conduct the adaptive beamforming to output the bearing estimation result. We show that the proposed method makes use of the noise suppression ability of the Toeplitz averaging in typical FIM, and also obtains the extended aperture of the virtual array. Numerical simulations demonstrate the effectiveness of the proposed method.
引文
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[25]葛士斌,陈新华,孙长瑜.具有良好宽容性的逆波束形成干扰抑制算法研究[J].电子与信息学报,2015,37(2):380-385.
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[2]Maguer A,Dymond R,Mazzi M,et al.SLITA:a new slim towed array for AUV applications[J].Journal of the Acoustical Society of America,2008,123(5):3005.
[3]Van Trees H L.Optimum array processing:Part 4 of detection,estimation,and modulation theory[M].Hoboken:John Wiley&Sons Inc,2002.
[4]Wilson J H.Applications of inverse beamforming theory[J].The Journal of the Acoustical Society of America,1995,98(6):3250-3261.
[5]Nuttall A H,Wilson J H.Estimation of the acoustic field directionality by use of planar and volumetric arrays via the Fourier series method and the Fourier integral method[J].The Journal of the Acoustical Society of America,1991,90(4):2004-2019.
[6]Fabre J P,Wilson J H.Minimum detectable level evaluation of inverse beamforming using Outpost SUNRISE data[J].The Journal of the Acoustical Society of America,1995,98(6):3262-3278.
[7]Carter G C.Results of an independent analysis of the inverse beamformer for use in the advanced processor build process[J].The Journal of the Acoustical Society of America,2000,107(6):3564-3567.
[8]Solomon I S D,Knight A J.Spatial processing of signals received by platform mounted sonar[J].IEEE Journal of Oceanic Engineering,2002,27(1):57-65.
[9]王良.基于四阶累计量的逆波束形成方法研究[D].中国海洋大学硕士学位论文,2006.
[10]王建鹏.互谱域线性预测角度谱估计方法研究[D].中国海洋大学硕士学位论文,2006.
[11]万瑾,宋志杰.基于滑动平均的等间隔线阵逆波束形成[J].声学技术,2007,26(3):483-487.
[12]王良,宋志杰.逆波束形成在圆阵中的应用[J].应用声学,2007,26(2):89-92.
[13]苏帅,孙超.基于改进的AR模型的逆波束形成方法研究[J].计算机工程与应用,2008,44(24):59-61.
[14]王忠,蒋晗中,陈伏虎.傅里叶积分法的旁瓣抑制[J].应用声学,2009,28(5):372-377.
[15]陈立纲,苑秉成,刘建国.改进的逆波束形成高分辨方位估计方法[J].兵工学报,2011,32(3):309-314.
[16]郑恩明,孙长瑜,陈新华,等.改善高分辨逆波束形成检测性能方法研究[J].信号处理,2013,29(5):570-576.
[17]郑恩明,陈新华,孙长瑜,等.改进的高分辨逆波束形成算法在圆阵中应用[J].应用声学,2013,32(6):457-463.
[18]MA Q,SUN C,LIU X H,et al.Passive direction-of-arrival estimation under high noise and strong interference condition for volumetric array[C]//IEEE TENCON 2013,Xi’an,China,2013:1-5.
[19]马茜.舷侧体积阵指向性能预报及弱目标方位估计.西北工业大学硕士学位论文,2014.
[20]Jeffers R,Breed B,Gallemore B.Passive range estimation and range rate detection[C]//Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop,2000:112-116.
[21]JIANG L,GUO L H,CAI P.Shielding the interference direction based on inverse beamforming algorithm[C]//IEEE 2nd International Symposium on Systems and Control in Aerospace and Astronautics(ISSCAA 20080),2008:1-5.
[22]张大海,杨坤德,王冬海.时域宽带逆波束形成干扰抵消算法研究[J].声学技术,2007,26(5)Pt2:130-133.
[23]Li Q H.Thirty years of underwater acoustic signal processing in China[C]//ADVANCES IN OCEAN ACOUSTICS:Proceedings of the 3rd International Conference on Ocean Acoustics(OA2012),Beijing,China,2012,1495(1):83-93.
[24]赵闪,孙长瑜,陈新华,等.拖船辐射噪声特性分析及实用抵消[J].声学技术,2013,32(2):92-95.
[25]葛士斌,陈新华,孙长瑜.具有良好宽容性的逆波束形成干扰抑制算法研究[J].电子与信息学报,2015,37(2):380-385.
[26]Hoctor R T,Kassam S A.The unifying role of the coarray in aperture synthesis for coherent and incoherent imaging[J].Proceedings of the IEEE,1990,78(4):735-752.
[27]Pal P,Vaidyanathan P P.Nested arrays:a novel approach to array processing with enhanced degrees of freedom[J].IEEE Transactions on Signal Processing,2010,58(8):4167-4181.
[28]Moffet A.Minimum-redundancy linear arrays[J].IEEE Transactions on Antennas and Propagation,1968,AP-16(2):172-175.
[29]Vaidyanathan P P,Pal P.Sparse sensing with co-prime samplers and arrays[J].IEEE Transactions on Signal Processing,2011,59(2):573-586.
[30]陈建,王树勋.基于四阶累积量虚拟阵列扩展的DOA估计[J].吉林大学学报:信息科学版,2006,24(4):345-350.
[31]Bucker H P.High‐resolution cross‐sensor beamforming for a uniform line array[J].The Journal of the Acoustical Society of America,1978,63(2):420-424.
[32]ZHENG E M,CHEN X H,SUN C Y,et al.Robust high-resolution beam-forming based on high order cross sensor processing method[J].Journal of Systems Engineering and Electronics,2015,26(5):932-940.