Emitter recognition based on Least Square Error model
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    Abstract:

    To tackle with the parameter uncertainty in emitter recognition problem, a recognition method based on least square error model is presented. First, the square error of characteristic parameters is calculated relative to those in database for the emitter, then, the degree of membership of the emitter is determined based on least square error. Unlike geometrical distance model and cloud model, the proposed model takes multi-values and correlation of each parameter(PRF,PW and ASV) into account. Simulation results show that the emitter recognition rate of this model is higher than that of the geometrical distance model and cloud model by 5% and 40% respectively.

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张云雯,姚景顺,陈晓曦,沈振华.基于最小平方误差的辐射源识别[J]. Journal of Terahertz Science and Electronic Information Technology ,2011,9(1):30~32

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  • Received:June 04,2010
  • Revised:July 19,2010
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