基于模糊函数零点切片特征优化的辐射源个体识别

doi:10.3969/j.issn.1001-2400.2010.02.018

Abstract

Abstract:

A novel specific emitter recognition algorithm is proposed to mitigate the computation problem and instability of kernel points ranking in the ambiguity function optimization method. It extracts the zero-slice of the ambiguity function as an intermediate feature set and employs the Direct Discriminant Ratio (DDR) criterion to rank the kernel points along the obtained slice. The resulting scheme not only improves the recognition accuracy greatly, but also preserves the most discriminant features of the individual emitter efficiently and avoids the “out of memory” problem in large whole-plane optimization. Experiments on both synthetic radar data from the U.S. Naval Research Laboratory and real radar emitter data demonstrate the feasibility and effectiveness of the proposed method.

Key words: specific emitter recognition, intra-pulse fine features, ambiguity function, zero-slice, feature optimization

WANG Lei;JI Hong-bing;LI Lin. Specific emitter recognition based on feature optimization of ambiguity function zero-slice[J].J4, 2010, 37(2): 285-289+304.

References

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Specific emitter recognition based on feature optimization of ambiguity function zero-slice

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