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| A Scheme of Accurate Estimation on Scaling Factors for Radar CFAR Detectors |
| Yang Jun①②; Ma Xiao-yan①; Wan Shan-hu①; Qin Jiang-min① |
| ①Dept. of Info. Eng.,Air Force Radar Academy Wuhan 430019 China;②Air Force Engineering University Xi’an 713800 |
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Abstract 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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Received: 28 February 2003
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2004, Vol. 26 
