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Volume 26 Issue 7
Jul.  2004
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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.

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

  • Received Date: 2003-02-28
  • Rev Recd Date: 2003-09-04
  • Publish Date: 2004-07-19
  • Using the perfect properties of Radial Basis Function (RBF) neural networks, such as approximation any non-linear mapping and quick convergence, a new scheme is proposed to estimate scaling factors for radar CFAR detectors. Owing to few constraints, it can estimate scaling factor for single radar as well as radar netting system. The numerical results indicate that the proposed scheme can quickly reach high estimation accuracy for most CFAR detectors.
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  • 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.
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