基于旋转干涉仪的近场源参数估计算法

马菁涛; 陶海红; 谢坚; 杨杰

doi:10.12000/JR14146

基于旋转干涉仪的近场源参数估计算法

DOI: 10.12000/JR14146

(西安电子科技大学雷达信号处理国家重点实验室西安 710071)

基金项目:

国家自然科学基金(60971108), 航空基金(2012***009)和西安电子科技大学基本科研业务费(BDY061428)资助课题

详细信息

作者简介:
马菁涛(1990-),女,2013年于西安电子科技大学获工学学士学位,现为西安电子科技大学雷达信号处理国家重点实验室硕士研究生,主要研究方向为阵列信号处理.E-mail:jtma@stu.xidian.edu.cn陶海红(1976-),女,西安电子科技大学教授,博士生导师,主要研究领域为雷达信号处理与检测、高速实时信号处理、阵列信号处理.E-mail:hhtao@xidian.edu.cn谢坚(1986-),男,西安电子科技大学雷达信号处理国家重点实验室博士研究生,主要研究方向为雷达信号处理、阵列信号处理.E-mail:xiejian1986@gmail.com杨杰(1989-),男,西安电子科技大学雷达信号处理国家重点实验室博士研究生,主要研究方向为MIMO雷达信号处理.E-mail:yangjie_xidian@126.com

通讯作者:
马菁涛jtma@stu.xidian.edu.cn

计量
- 文章访问数: 2173
- HTML全文浏览量: 429
- PDF下载量: 1325
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-01
- 修回日期: 2015-03-23
- 网络出版日期: 2015-06-28

Rotating Interferometer-based Algorithm for Parameter Estimation of Near-field Source

(National Laboratory of Radar Signal Processing Xidian University, Xi'an, 710071, China)

摘要

摘要: 该文基于旋转干涉仪提出了一种新的近场源参数估计算法.该算法利用单个长基线干涉仪的旋转和相位积分实现相位解模糊,有效解决了单基线干涉仪在近场源情况中存在的无模糊视角范围和测角精度之间的矛盾.该算法只需两个接收天线即可得到近场源俯仰角、方位角和距离参数的闭式解,无需构造高阶累积量矩阵和多维搜索,同时也降低了多基线组合对通道一致性的要求.相比于传统的双长基线干涉仪方法,该文算法具有更高的参数估计精度和解模糊能力,具有结构简单、易于工程实现的优点.计算机仿真实验表明了所提算法的有效性和正确性.
- 近场源 /
- 旋转干涉仪 /
- 2维角估计 /
- 距离估计 /
- 相位解模糊
Abstract: This paper proposes a novel rotating interferometer-based algorithm for parameter estimation of nearfield source. The algorithm exploits the rotation of a single long baseline interferometer and the integration operation of the phase to unwrap the phase ambiguity. Thus the contradiction between the maximal unambiguous angle and the direction finding accuracy in the single baseline interferometer can be efficiently eliminated in the near-field source scenario. The algorithm can obtain the closed form solutions of the elevation and azimuth angles as well as range estimations for near-field source with two receiving sensors. It avoids the construction of high-order cumulant matrices and multi-dimension search. Simultaneously, it alleviates the requirment for multi-baseline channel consistency. Compared with the conventional double long baselines interferometer method, the proposed algorithm achieves higher parameter estimation accuracy and better performance in ambiguity resolution. Moreover, the proposed algorithm enjoys a simple structure, which is easy to be implemented in engineering application. Simulation results demonstrate the effectiveness and validity of the proposed algorithm.
- Near-field source /
- Rotating interferometer /
- Two-dimensional angle estimation /
- Range estimation /
- Unwrap phase ambiguity

HTML全文

参考文献(14)

[1]	Jiang Jia-jia, Duan Fa-jie, Chen Jin, et al.. Mixed near-field and far-field sources localization using the uniform linear sensor array[J]. IEEE Sensors Journal, 2013, 13(8): 3136-3143.
[2]	Kim J H, Yang I S, Kim K M, et al.. Passive ranging sonar based on multi-beam towed array[C]. OCEANS 2000 MTS/IEEE Conference and Exhibition, Providence, RI, 2000, 3: 1495-1499.
[3]	Huang Y D and Barkat M. Near-field multiple sources localization by passive sensor array[J]. IEEE Transactions on Antennas and Propagation, 1991, 39(7): 968-975.
[4]	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 Jian-feng, Zhang Xian-da, and Wu Yun-tao. An algorithm for jointly estimating range, DOA and frequency of near field source[J]. Acta Electronica Sinica, 2004, 32(5): 803-806.
[5]	黄家才, 石要武, 陶建武. 一种新的近场源距离及到达角联合估计算法[J]. 电子与信息学报, 2007, 29(11): 2738-2742. Huang Jia-cai, Shi Yao-wu, and Tao Jian-wu. A new method for range and DOA estimation of near-field sources[J]. Journal of Electronics Information Technology, 2007, 29(11): 2738-2742.
[6]	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. Wang Bo and Wang Shu-xun. A three-dimensional parameter estimation method of near field sources based on second statistics[J]. Journal of Electronics Information Technology, 2006, 28(1): 45-49.
[7]	王凌, 李国林, 谢鑫, 等. 非圆信号二维DOA和初始相位联合估计方法[J]. 雷达学报, 2012, 1(1): 43-49. Wang Ling, Li Guo-lin, Xie Xin, et al.. Joint 2-D DOA and noncircularity phase estimation method[J]. Journal of Radars, 2012, 1(1): 43-49.
[8]	曹菲, 刘庆云. 双基线干涉仪解模糊能力分析[J]. 航天电子对抗, 2013, 29(3): 24-25. Cao Fei and Liu Qing-yun. Analysis on ability of dualbaseline interferometer to resolve angular ambiguities[J]. Aerospace Electronic Warfare, 2013, 29(3): 24-25.
[9]	司伟建, 程伟. 旋转干涉仪解模糊方法研究及实现[J]. 弹箭与制导学报, 2010, 30(3): 199-202. Si Wei-jian and Cheng Wei. Study on solving ambiguity method of rolling interferometer and implemention[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010, 30(3): 199-202.
[10]	刘鲁涛, 司锡才. 开环旋转相位干涉仪DOA算法分析[J]. 解放军理工大学学报, 2011, 12(5): 419-424. Liu Lu-tao and Si Xi-cai. Analysis of DOA algorithim by open loop method of rotating phase interferometer system[J]. Journal of PLA University of Science and Technology (Natural Science Edition), 2011, 12(5): 419-424.
[11]	李腾, 郭福成, 姜文利. 基于旋转干涉仪模糊相位差的多假设 NLS定位算法[J]. 电子与信息学报, 2012, 34(4): 956-961. Li Teng, Guo Fu-cheng, and Jiang Wen-li. Multiple hypothesis NLS location algorithm based on ambiguous phase difference measured by a rotating interferometer[J]. Journal of Electronics Information Technology, 2012, 34(4): 956-961.
[12]	Krim H and Viberg M. Two decades of array processing research: the parametric approach[J]. IEEE Signal Processing Magazine, 1996, 13(4): 67-94.
[13]	张敏, 郭福成, 李腾, 等. 旋转长基线干涉仪测向方法及性能分析[J]. 电子学报, 2013, 41(12): 2422-2429. Zhang Min, Guo Fu-cheng, Li Teng, et al.. A direction finding method and analysis based on the rotated long baseline interferometer[J]. Acta Electronica Sinica, 2013, 41(12): 2422-2429.
[14]	Wu Yun-tao, Wang Hai, Huang Long-ting, et al.. Fast algorithm for three-dimensional single near-field source localization with uniform circular array[C]. IEEE CIE International Conference, Chengdu, 2011: 350-352.