五元体积阵低信噪比下目标方位估计
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- 英文论文题名：On DOA estimation for five-element volumetric array at low signal-to-noise ratios
- 论文作者：蒋国庆 ; 孙超 ; 荣英佼 ; 刘雄厚 ; 谢磊 ; 蒋光禹
- 英文论文作者：JIANG Guo-qing ; SUN Chao ; RONG Ying-jiao ; LIU Xiong-hou ; XIE Lei ; JIANG Guang-yu ; School of Marine Science and Technology ; Northwestern Polytechnical University ; Science and Technology on Near-Surface Detection Laboratory
- 年：2016
- 作者机构：西北工业大学航海学院;近地面探测与感知技术国防科技重点实验室;
- 论文关键词：方位估计 ; 互相关 ; 虚拟阵 ; MVDR ; 五元体积阵
- 英文论文关键词：Direction of Arrival(DOA) Estimation ; cross-correlation processing ; virtual array ; Minimum Variance Distortionless Response(MVDR) ; five-element volumetric 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：TN911.7
- 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：553k
- 原文格式：D
- 会议级别：全国
摘要
针对低信噪比下麦克风五元体积阵对空中目标方位估计性能差的问题,提出一种基于互相关处理的最小方差无失真响应(Minimum Variance Distortionless Response,MVDR)方位估计方法。该方法首先在五元体积阵的接收信号之间做互相关,获得25个互相关输出;其次,对互相关输出中具有相同相位差的输出求平均,获得17个虚拟阵元上的输出信号。最后,对17元虚拟阵列采用MVDR方法估计来波方向。所提方法同时利用互相关处理和求平均处理以抑制噪声,从而提高MVDR方法在低信噪比情况下的目标方位估计性能。利用数值仿真验证了所提方法的有效性。
To improve the direction of arrival(DOA) estimation performance of the five-element volumetric array, a minimum variance distortionless response(MVDR) method for DOA estimation based on cross-correlation is proposed. Firstly the cross-correlation processing between receiving signals is utilized and 25 outputs are produced. Then among the 25 outputs the ones sharing the same phase shift are averaged, and thus 17 outputs are obtained, which can be considered as the sampled signals of a 17-element virtual array. Finally the MVDR method is applied to the 17-element virtual array to estimate DOAs of targets. The proposed method simultaneously utilizes the cross-correlation processing and the averaging processing to suppress noise, thereby improving the DOA estimation performance of the MVDR method effectively. Numerical simulations demonstrate the effectiveness of the proposed method.
To improve the direction of arrival(DOA) estimation performance of the five-element volumetric array, a minimum variance distortionless response(MVDR) method for DOA estimation based on cross-correlation is proposed. Firstly the cross-correlation processing between receiving signals is utilized and 25 outputs are produced. Then among the 25 outputs the ones sharing the same phase shift are averaged, and thus 17 outputs are obtained, which can be considered as the sampled signals of a 17-element virtual array. Finally the MVDR method is applied to the 17-element virtual array to estimate DOAs of targets. The proposed method simultaneously utilizes the cross-correlation processing and the averaging processing to suppress noise, thereby improving the DOA estimation performance of the MVDR method effectively. Numerical simulations demonstrate the effectiveness of the proposed method.
引文
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[2]顾晓辉,王晓鸣.用双直角三角形阵对声目标定位的研究[J].声学技术,2003,22(1):44-47.GU Xiaohui,WANG Xiaoming.Location of acoustic target with dual right-triangles array[J].Technical Acoustics,2003,22(1):44-47.
[3]王学青,时银水,朱岩.四元平面方阵对空声时延定位误差分析[J].电声技术,2005(11):4-6.WANG Xueqing,SHI Yinshui,ZHU Yan.Error analysis of air acoustic time delay localization of four-cell-square array in plane[J].Audio Engineering,2005(11):4-6.
[4]程翔,张河.高低四元阵定位算法及其精度分析[J].探测与控制学报,2006,28(4):12-14.CHENG Xiang,ZHANG He.Location algorithm and precision analyzing of high-low quaternion array[J].Journal of Detection&Control,2006,28(4):12-14.
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[6]陈华伟,赵俊渭,郭业才.五元十字阵被动声定位算法及其性能研究[J].探测与控制学报,2003,25(4):11-16.CHEN Huawei,ZHAO Junwei,GUO Yecai.Acoustic passive localization algorithm based on a planar five-element array and its performance analysis[J].Journal of Detection&Control,2003,25(4):11-16.
[7]孙书学,顾晓辉,孙晓霞.用正四棱锥形阵对声目标定位研究[J].应用声学,2006,25(2):102-108.
[8]邱扬刚,张亚,李世中.五元空间阵声被动定位算法及性能分析[J].四川兵工学报,2010,31(2):122-125.
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