一种新的近场源距离及到达角联合估计算法

黄家才; 石要武; 陶建武

doi:10.3724/SP.J.1146.2006.00633

一种新的近场源距离及到达角联合估计算法

doi: 10.3724/SP.J.1146.2006.00633

黄家才^{①;石要武},
石要武,
陶建武

基金项目:

吉林大学研究生创新基金(502039)，国家自然科学基金(69872012)和吉林省基础研究计划基金(20030519)资助课题

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出版历程
- 收稿日期: 2006-05-11
- 修回日期: 2006-10-16
- 刊出日期: 2007-11-19

A new Method for Range and DOA Estimation of Near-Field Sources

摘要

摘要: 该文提出一种基于三阶循环矩的近场源距离以及到达角联合估计算法。该算法充分利用了信号的循环平稳特性以及其空、时域信息，通过构造时空矩阵并进行特征分解获得二维参数的闭式估计。该方法计算简单，无需谱峰搜索，而且二维参数自动配对。与现有的方法相比，该文算法并不要求阵列具有中心对称结构，因此避免了阵列孔径的损失；此外该算法对任意分布的加性平稳噪声以及具有不同循环频率的干扰信号有较好的抑制能力。计算机仿真实验验证了该方法的有效性。
- DOA估计;近场源;距离估计;循环平稳
Abstract: A new method based on third-order cyclic moment is presented for joint estimation of Directions-Of-Arrival (DOAs) and range of near-field sources. By exploiting the cyclostationarity and space-time information of the signals, the parameters are directly given by the eigendecomposition of certain constructed DOA-matrix. Compared with several existing approaches, the loss of array aperture is voided since the proposed method doesnt need a symmetrical array. Moreover, the proposed method can effectively suppress the additive stationary noises with any distribution and interfering signals with different cyclic frequency, and the parameters match automatically in the process. Some numerical simulations illustrate the effectiveness of the proposed algorithm.

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参考文献(1)

Swindlehurst A L and Kailath T. Passive direction of arrival and range estimation for near-field sources [A]. in 4th Annual ASSP Workshop on Spectrum Estimation and Modeling[C]. Minneapolis, MN, USA: AASSPWSEM, 1988: 123-128.[2]Kim J H, et al.. Passive ranging sonar based on multi-beam towed array [J]. Proc IEEE Oceans, 2000, 3(9):1495-1499.[3]Huang Y D and Barkat M. Near-field mutiple sources localization by passive sensor array [J].IEEE Trans. on Antennas Propagation.1991, 39(7):968-975[4]Starer D and Nehorai A. Path-following algorithm for passive localization of near-field sources [J]. 5th ASSP Workshop on Spectrum Estimation and Modeling, USA, 1990: 322-326.[5]Lee J H, Lee C M, and Lee K K. A modified path-following algorithm using a known algebraic path [J].IEEE Trans. on Signal Processing.1999, 47 (5):1407-1409[6]Abed-Meraim K, Hua Y B, and Belouchrani A. Second-order near-field source localization: algorithm and performance analysis [A]. Proceedings of A silomar conference [C], Pacific Grove, USA: CA, 1996: 723-727.[7]Abed-Meraim K and Hua Y B. 3-D near field source localization using second order statistics. Conference Record of the Thirty-First A silomar Conference on Signals.[J].Systems Computers, Pacific Grove, CA USA.1998,:-[8]王波, 王树勋. 一种基于二阶统计量的近场源三维参数估计方法[J].电子与信息学报.2006, 28(1):45-49浏览[9]Challa R N and Shamsunder S. High-order subspace-based algorithms for passive localization of near-field sources[C]. 29th Asilomar Conference, CA USA, 1995: 777-781.[10]陈建峰, 张贤达, 吴云韬. 近场源距离、频率及到达角联合估计算法[J]. 电子学报，2004,32(5):803-806. Chen J F, Zhang X D, and Wu Y T. An algorithm for jointly estimating range DOA and frequency of near field source[J]. Acta Electronica Sinica, 2004, 32(5): 803-806.[11]王洪洋, 廖桂生, 王万林. 近场源频率、波达方向和距离的联合估计方法[J]. 电波科学学报, 2004, 19(6): 718-721. Wang Hong-yang, Liao Gui-Sheng, and Wang Wang-Lin. Joint frequency, direction of arrival and range estimation for near- field sources. Chinese Journal of Radio Science, 2004,19(6): 718-721.[12]吴云韬, 侯朝焕王荣, 孙小东. 一种基于高阶累积量的近场源距离、频率和方位联合估计算法[J]. 电子学报, 2005, 33(10): 23-26. Wu Yun-tan, Hou Chao-huna, Wang R, and Sun Xiao-dong. Joint ranges DOAs and frequencies estimation of multiple near-field sources using cumulant. Acta Electronica Sinica, 2005, 33(10): 23-26.[13]Gardner W A, and Spooner C M. The cumulant theory of cyclostationary time series, part I: foundation part II: development and application[J].IEEE Trans. on Signal Processing.1994, 42(12):3387-3429[14]金梁, 殷勤业. 时空DOA矩阵法[J]. 电子学报, 2000, 28(6): 8-12. Jin Liang, and Yin Qin-ye. Space-time DOA matrix method. Acta Electronica Sinica, 2000, 28(6):8-12.

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