首页> 外国专利> Object e.g. person, identifying method, involves supplying extracted characteristic parameter to intelligent hybrid system for identification of predetermined object class, where system has neural network and Hiden Markov model network

Object e.g. person, identifying method, involves supplying extracted characteristic parameter to intelligent hybrid system for identification of predetermined object class, where system has neural network and Hiden Markov model network

机译:对象例如人的识别方法包括将提取的特征参数提供给智能混合系统以识别预定的对象类别,其中系统具有神经网络和Hiden Markov模型网络

摘要

The method involves forming a signal spectrum as a part of echo signals reflected from an object. A predetermined characteristic parameter is extracted from the spectrum by one dimensional statistic analysis method. The extracted parameter is supplied to an intelligent hybrid system for identification of a predetermined object class. The hybrid system includes a neural network and Hiden Markov model network. The classification result is supplied to another hybrid system for result confirmation. An independent claim is also included for a radar system for executing a method of identifying an object.
机译:该方法涉及形成信号频谱作为从物体反射的回波信号的一部分。通过一维统计分析方法从频谱中提取预定的特征参数。所提取的参数被提供给智能混合系统,用于识别预定对象类别。混合系统包括神经网络和Hiden Markov模型网络。分类结果被提供给另一个混合系统以进行结果确认。还包括用于执行识别物体的方法的雷达系统的独立权利要求。

著录项

  • 公开/公告号DE102005003024A1

    专利类型

  • 公开/公告日2006-08-03

    原文格式PDF

  • 申请/专利权人 EADS DEUTSCHLAND GMBH;

    申请/专利号DE20051003024

  • 发明设计人 NICOLA JOHANN;KOUEMOU GUY LEONARD;

    申请日2005-01-22

  • 分类号G01S7/41;G01S13/52;

  • 国家 DE

  • 入库时间 2022-08-21 21:20:28

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