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

一种精确估计恒虚警检测器标度因子的通用方法

杨军 马晓岩 万山虎 秦江敏

杨军, 马晓岩, 万山虎, 秦江敏. 一种精确估计恒虚警检测器标度因子的通用方法[J]. 电子与信息学报, 2004, 26(7): 1131-1136.
引用本文: 杨军, 马晓岩, 万山虎, 秦江敏. 一种精确估计恒虚警检测器标度因子的通用方法[J]. 电子与信息学报, 2004, 26(7): 1131-1136.
Yang Jun, Ma Xiao-yan, Wan Shan-hu, Qin Jiang-min. A Scheme of Accurate Estimation on Scaling Factors for Radar CFAR Detectors[J]. Journal of Electronics & Information Technology, 2004, 26(7): 1131-1136.
Citation: Yang Jun, Ma Xiao-yan, Wan Shan-hu, Qin Jiang-min. A Scheme of Accurate Estimation on Scaling Factors for Radar CFAR Detectors[J]. Journal of Electronics & Information Technology, 2004, 26(7): 1131-1136.

一种精确估计恒虚警检测器标度因子的通用方法

A Scheme of Accurate Estimation on Scaling Factors for Radar CFAR Detectors

  • 摘要: 利用径向基函数(RBF)网络具有良好的逼近任意非线性映射的能力和快速收敛的特点,提出了一种精确估计雷达恒虚警检测器标度因子的通用方法。由于限制条件较少,该方法既可用于估计单部雷达CFAR处理的标度因子,也可用于估计雷达组网CFAR处理(集中式和分布式)的标度因子。数值分析表明,该方法可快速精确估计多种CFAR检测器的标度因子。
  • Srinivasan R. Fast simulation of smallest-of and geometric-mean CFAR detectors. IEE Proc.-F,2001, 148(3): 186-191.[2]Schilling R J, Carroll J J, A1-Ajlouni A F. Approximation of nonlinear systems with radial basis function neural networks[J].IEEE Trans. on Neural Networks.2001, 12(1):1-15[3]Leshno M, Lin V Y, Pinkus A, Schocken S. Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. IEEE Trans. on Neural Networks, 1993, 6(1):861-867.[4]Moody J, Darken C. Fast learning in networks of locally-tuned processing units. Neural Computation, 1989, 2(1): 281-294.[5]Orr M J L. Regularization in the radial basis function centers[J].Neural Computation.1995, 7(3):606-620[6]Chen S, Cowan C F N, Grant P M. Orthogonal least squares learning algorithm for radial basis function networks[J].IEEE Trans. on Neural Networks.1991,2(2):302-309[7]Chen S, Grant P M, Cowan C F N. Orthogonal least squares learning algorithm for trainning multioutput radial basis function networks. IEE Proc.-F, 1992, 139(6): 378-384.[8]杨军.基于雷达组网的分布式CFAR处理方法研究.[博士论文],西安:空军工程大学,2003. [9]Finn H M, Jonhson R S. Adaptive detection mode with threshold control as a function of spatially sampled clutter-level estimates. RCA Review, 1968, 29(2): 414-464.[9]Rohling H. Radar CFAR threshold in clutter and multiple target situations. IEEE Trans. on AES, 1983, 19 (l): 608-621.[10]Richard J T, Dilard G M. Adaptive detection algorithms for multi-targets situations. IEEE Trans. on AES, 1986, 22(4), 443-454.[11]Amirmehrabi H, Viswanathan V. A new distributed constant false alarm rate detector. IEEE Trans. on AES, 1997, 33(1): 85-97.
  • 加载中
计量
  • 文章访问数:  2278
  • HTML全文浏览量:  114
  • PDF下载量:  753
  • 被引次数: 0
出版历程
  • 收稿日期:  2003-02-28
  • 修回日期:  2003-09-04
  • 刊出日期:  2004-07-19

目录

    /

    返回文章
    返回