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Attribute measure recognition approach and its applications to emitter recognition

机译:属性量度识别方法及其在辐射源识别中的应用

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摘要

This paper studies the emitter recognition problem. A new recognition method based on attribute measure for emitter recognition is put forward. The steps of the method are presented. The approach to determining the weight coefficient is also discussed. Moreover, considering the temporal redundancy of emitter information detected by multi-sensor system, this new recognition method is generalized to multi-sensor system. A method based on the combination of attribute measure and D-S evidence theory is proposed. The implementation of D-S reasoning is always restricted by basic probability assignment function. Constructing basic probability assignment function based on attribute measure is presented in multi-sensor recognition system. Examples of recognizing the emitter purpose and system are selected to demonstrate the method proposed. Experimental results show that the performance of this new method is accurate and effective.
机译:本文研究了辐射源识别问题。提出了一种基于属性测度的辐射源识别新方法。介绍了该方法的步骤。还讨论了确定权重系数的方法。此外,考虑到多传感器系统检测到的辐射源信息的时间冗余性,这种新的识别方法被推广到多传感器系统。提出了一种基于属性测度和D-S证据理论相结合的方法。 D-S推理的实施始终受基本概率分配函数的限制。提出了一种基于属性测度的基本概率分配函数构造方法。选择识别发射器目的和系统的示例来演示所提出的方法。实验结果表明,该新方法的性能准确有效。

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