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[1]吴云韬,张彦斌,曹辉,等.均匀圆阵下单个近场源信号四维参数估计快速算法[J].武汉工程大学学报,2013,(03):75-78.[doi:103969/jissn16742869201303016]
　WU Yun tao,ZHANG Yan bin,CAO Hui,et al.Fast algorithm for fourdimensional parameter estimation of single nearfield source with uniform circular array[J].Journal of Wuhan Institute of Technology,2013,(03):75-78.[doi:103969/jissn16742869201303016]
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2013年03期
页码:
75-78
栏目:
机电与信息工程
出版日期:
2013-03-31

文章信息/Info

Title:
Fast algorithm for fourdimensional parameter estimation of single nearfield source with uniform circular array
文章编号:
16742869(2013)03007504
作者:
吴云韬1; 2; 张彦斌1; 2; 曹辉1; 2; 汪海1; 2
1.武汉工程大学计算机科学与工程学院，湖北 武汉 430074；2.武汉工程大学智能机器人湖北省重点实验室，湖北 武汉430074
Author(s):
WU Yuntao1; 2;  ZHANG Yanbin1; 2;  CAO Hui1; 2;  WANG Hai1; 2
1. Computer Science of Wuhan Institute of Technology, Wuhan 430074, China;2. Key Lab of Intelligent Robot in Hubei Province, Wuhan Institute of Technology, Wuhan 430074, China
关键词:
近场源定位; 最小二乘; 重信号分类算法; 均匀圆阵
Keywords:
nearfield source localization;  least square;  multiple signal classification method;  uniform circular array
分类号:
TP911.7
DOI:
103969/jissn16742869201303016
文献标志码:
A
摘要:
针对近场源三维参数估计效率低下及信号源的载波频率估计较少的情况，提出了一种基于均匀圆阵(UCA)的近场源四维参数估计快速算法,利用UCA的中心对称结构构造出两个相关序列,其中一个为利用错位相乘构造的相关序列，使之含有信号源的方位角、俯仰角以及载波的频率信息，而另外一个构造的相关序列则含有信号源的距离参数,这样两个相关序列的相位就包含信号的4D 参数信息.首先对利用错位相乘构造的相关序列利用最小二乘方法给出方位角、俯仰角和频率的估计，然后再利用另一个序列估计出距离参数.仿真结果表明该算法和3D MUSIC算法性能相当，但由于所提算法无需三维搜索和特征分解，因而计算更加简单利于工程实时实现.
Abstract:
A least squares (LS) algorithm for 4D parameter estimation was proposed based on a single nearfield source impinging on a uniform circular array (UCA). By exploiting the centrosymmetric of the UCA, two correlation sequences were devised. The first one, which contained the azimuth & elevation angles, and the carrier frequency information of the source, was constructed via dislocation multiplying method. The second one, which contained range parameter, was directly obtained by the symmetric structure. The azimuth & elevation angles and frequency parameters were estimated by the first sequence, and then the unknown range was given from the estimated parameters by the second one. Simulation results indicate that the proposed method has a less the same estimation performance compared with the conventional 3D MUSIC method, but its computation is more effective.

参考文献/References:

［1］Wu Y T, So H C. Simple and Accurate TwoDimensional Angle Estimation for a Single Source with Uniform Circular Array\[J\]. IEEE Antennas and Wireless Propagation Letters, 2008, 7: 7880.［2］Lee J H, Park D H, Park G T ,et al. Algebraic path following algorithm for localizing 3D nearfield sources in uniform circular array\[J\]. Electronics Letters, 2003, 39（17）:12831285.［3］Bae E H , Lee K K. Closedform 3D localization for single source in uniform circular array with a center sensor\[J\]. IEICE Transactions on Communications, 2009, E92/B（3）: 10531056.［4］Wu Y T, W H, Huang L T, et al. Fast Algorithm for ThreeDimensional Single NearField Source Localization with Uniform Circular Array\[C\]// 2011 IEEE CIE International Conference on Radar Processing,Chengdu, China. October 2427.Piscataway, NJ,United States:Institute of Electrical and Electronics Engineers Inc, 2011, 1: 350352.［5］Zoltowski M D， Mathews C P. Realtime frequency and 2D angle estimation with subNyquist spatioemporal sampling\[J\]. IEEE Transactions on Signal Processing, 1994, 42（10）: 27812794.［6］Sundaram K R, Mallik R K， Murthy U M S. Modulo conversion method for estimating the direction of arrival\[J\]. IEEE Transactions on Aerospace and Electronic Systems, 2000,36（4）: 13911396.［7］汪海. 高分辨率的DOA估计算法研究及其系统实现\[D\]. 武汉: 武汉工程大学, 2012.

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备注/Memo

备注/Memo:
收稿日期：20121112基金项目：国家自然科学基金(61172150) ；湖北省高等学校优秀中青年科技创新团队计划项目联合资助(T201206)作者简介：吴云韬(1973), 男, 湖北恩施人, 教授, 硕士研究生导师. 研究方向: 阵列信号处理、自适应信号处理、无线传感器网络中的定位技术等.
更新日期/Last Update: 2013-04-23