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Hidden markov model detection for spread spectrum waveforms

机译:隐藏的马尔可夫模型检测可扩展频谱波形

摘要

Systems and methods for processing a data signal in a communications system. The methods involve generating a first chaotic sequence at a transmitter. The methods also involve performing first basis function algorithms using the first chaotic sequence to generate first statistically orthogonal chaotic sequences. At least one sequence is selected from the first statistically orthogonal chaotic sequences for combining with a first data signal. The selected sequence is combined with a second data signal to obtain a modulated chaotic communication signal. The modulated chaotic communication signal is transmitted to a receiver. At the receiver, the received modulated chaotic communication signal is processed to obtain data therefrom. Notably, the signal processing generally involves performing a deterministic process (e.g., a Hidden Markov Model deterministic process).
机译:用于在通信系统中处理数据信号的系统和方法。该方法包括在发射机处产生第一混沌序列。该方法还包括使用第一混沌序列执行第一基函数算法以生成第一统计正交混沌序列。从第一统计正交混沌序列中选择至少一个序列以与第一数据信号组合。所选择的序列与第二数据信号组合以获得调制的混沌通信信号。调制后的混沌通信信号被发送到接收机。在接收机处,对接收到的调制的混沌通信信号进行处理以从中获得数据。值得注意的是,信号处理通常涉及执行确定性处理(例如,隐马尔可夫模型确定性处理)。

著录项

  • 公开/公告号EP2365653B1

    专利类型

  • 公开/公告日2014-05-21

    原文格式PDF

  • 申请/专利权人 HARRIS CORP;

    申请/专利号EP20110001222

  • 发明设计人 MICHAELS ALAN J.;

    申请日2011-02-15

  • 分类号H04J13/00;H04J13/10;

  • 国家 EP

  • 入库时间 2022-08-21 15:50:08

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