高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

近场目标方位和距离估计的克拉美-罗界研究

包涛 周德云 李立欣 胡楚锋

包涛, 周德云, 李立欣, 胡楚锋. 近场目标方位和距离估计的克拉美-罗界研究[J]. 电子与信息学报, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578
引用本文: 包涛, 周德云, 李立欣, 胡楚锋. 近场目标方位和距离估计的克拉美-罗界研究[J]. 电子与信息学报, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578
BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578
Citation: BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578

近场目标方位和距离估计的克拉美-罗界研究

doi: 10.11999/JEIT150578
基金项目: 

国家自然科学基金(61201320),中央高校基本科研业务费专项资金(3102014JCQ01052),中国博士后科学基金面上项目(2014M552489),上海航天科技创新基金(SAST201455)

Cramr-Rao Bound for Near-field Source Localization

Funds: 

The National Natural Science Foundation of China (61201320), The Fundamental Research Funds for the Central Universities (3102014JCQ01052), China Postdoctoral Science Foundation (2014M552489), Shanghai Aerospace Science and Technology Innovation Fund (SAST201455)

  • 摘要: 针对现有单源情况下近场目标定位的窄带克拉美-罗界(Cramr-Rao Bound, CRB)都是基于均匀直线阵模型,且没能全面分析其CRB的特性和具体的影响因素。该文首先推导了基于窄带模型的单源费雪信息矩阵,进而通过求舒尔补和雅克比变换,得到非均匀线阵条件下近场测距和测向的非矩阵形式的闭式CRB解析式。通过对该式从阵列相关因素(如阵列结构、阵列孔径等)和目标信号相关因素(如目标信号频率和信噪比等)两方面进行分析,揭示了影响目标角度和距离估计性能的物理因素,为后续阵列及信号的设计提供了理论指导。在最大孔径给定的情况下,可通过设计合理的阵元配置方式,实现最优的测距和测向效果。蒙特卡洛仿真结果验证了理论分析和上述结论的正确性。
  • 郑志东, 袁红刚, 张剑云, 等. 运动双基地MIMO雷达参数估计的克拉美罗界[J]. 电子与信息学报, 2014, 36(11): 2678-2683. doi: 10.3724/SP.J.1146.2013.01895.
    ZHENG Zhidong, YUAN Honggang, ZHANG Jianyun, et al. Cramr-Rao bounds for estimating parameter in the moving bistatic MIMO radar[J]. Journal of Electronics Information Technology, 2014, 36(11): 2678-2683. doi: 10.3724/SP.J.1146.2013.01895.
    方庆园, 韩勇, 金铭, 等. 基于噪声子空间特征值重构的DOA估计算法[J]. 电子与信息学报, 2014, 36(12): 2876-2881. doi: 10.3724/SP.J.1146.2013.02014.
    FANG Qingyuan, HAN Yong, JIN Ming, et al. DOA estimation based on eigenvalue reconstruction of noise subspace[J]. Journal of Electronics Information Technology, 2014, 36(12): 2876-2881. doi: 10.3724/SP.J.1146.2013.02014.
    HAARDT M, PESAVENTO M, ROEMER F, et al. Subspace Methods and Exploitation of Special Array Structures, Electronic Reference in Signal Processing: Array and Statistical Signal Processing[M]. Vol. 3, Academic Press Library in Signal Processing. PL: Elsevier Ltd., 2014: 651-717. doi: 10.1016/B978-0-12-411597-2.00015-1.
    ZHANG X, EL KORSO M N, and PESAVENTO M. On the asymptotic resolvability of far-field stochastic sources[C]. Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, 2012: 889-893.
    GROSICKI E, ABED MERAIM K, and HUA Y. A weighted linear prediction method for near-field source localization[J]. IEEE Transactions on Signal Processing, 2005, 53(10): 3651-3660. doi: 10.1109/TSP.2005.855100.
    DELMAS J P and GAZZAH H. CRB analysis of near-field source localization using uniform circular arrays[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, 2013: 3396-3400. doi: 10.1109/ICASSP.2013. 6638409.
    BEGRICHE Y, THAMERI M, and ABEDMERAIM K. Exact Cramr Rao bound for near field source localization[C]. Proceedings of the 11th IEEE International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, 2012: 718-721. doi: 10.1109/ISSPA.2012.6310646.
    曾雄飞, 孙贵青, 黄海宁. 水下目标方位估计的克拉美罗界研究[J]. 电子与信息学报, 2013, 35(1): 92-98. doi: 10.3724/ SP.J.1146.2011.01224.
    ZENG Xiongfei, SUN Guiqing, and HUANG Haining.
    Cramr-Rao bound of position estimation for underwater source[J]. Journal of Electronics Information Technology, 2013, 35(1): 92-98. doi: 10.3724/SP.J.1146.2011.01224.
    EL KORSO M N, BOYER R, RENAUX A, et al. Nonmatrix closed-form expressions of the Cramr-Rao bounds for near-field localization parameters[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, 2009: 3277-3280. doi: 10.1109/ICASSP.2009.4960324.
    KAY S M. Fundamentals of Statistical Signal Processing: Estimation Theory[M]. N J, Prentice Hall, 1993, Vol. 1: 147-169.
  • 加载中
计量
  • 文章访问数:  1690
  • HTML全文浏览量:  162
  • PDF下载量:  565
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-05-15
  • 修回日期:  2015-11-20
  • 刊出日期:  2016-03-19

目录

    /

    返回文章
    返回