A Method for Determining Scale Factor of CFAR Detector Based on BP Neural Networks

摘要：

　　As applying constant false alarm rate (CFAR)detection algorithms,an important task is to determine its scale factor according to given false alarm probability.When analytic expression of scale factor vs false alarm probability is difficult or impossible to be obtained,simulation is adopted traditionally.But the computation of simulation is very large.A method for determining scale factor of CFAR detector based on BP neural networks is proposed in the paper using powerful ability to approximate any non-linear expression.Studies of examples indicate training times of BP neural networks approximating relation between false alarm probability and scale factor can be largely shorten,after nonlinear transformation of natural logarithm is applied to input of BP neural networks.Studies also indicate method for determining scale factor based on BP neural networks can provide high accuracy.

关键词： CFAR Scale factor BP neural networks

作者: Dang Ling Wang Pingjun Wang Zhikai

作者单位: Dalian Naval Academy,Dalian 116018, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 459-461

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）