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首页> 外文期刊>IEEE Transactions on Automatic Control >System identification using chaos with application to equalization of a chaotic modulation system
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System identification using chaos with application to equalization of a chaotic modulation system

机译：使用混沌的系统识别，并将其应用于混沌调制系统的均衡

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In this brief, we considered the problem of blind identification of an autoregressive (AR) system driven by a chaotic signal. Because of the inherently deterministic nature of a chaotic signal, a new dynamic-based estimation approach calledminimum phase space volume (MPSV) technique was applied to identify an AR system. It was shown that not only could this chaotic approach provide an accurate identification, but it was also more effective than the conventional statistic method in the sense that the chaotic approach had a smaller mean squares error (MSE), and it was so robust that it did not require an order determination procedure. In a chaotic modulation communication system, since the signal of transmission is modulated by a chaoticdynamical system, equalization of the transmitted signal through a communication channel is therefore a problem of system identification with a chaotic probing signal. It was observed that the equalization performance of the chaotic approach was superiorto the conventional statistical method. This is another benefit for using chaos in a spread spectrum communication system.
机译：在本简报中，我们考虑了由混沌信号驱动的自回归 （AR） 系统的盲识别问题。由于混沌信号固有的确定性，一种新的基于动态的估计方法被应用于识别AR系统，称为最小相空间体积（MPSV）技术。结果表明，这种混沌方法不仅可以提供准确的识别，而且比传统的统计方法更有效，因为混沌方法具有较小的均方误差（MSE），并且它非常鲁棒，不需要阶数确定程序。在混沌调制通信系统中，由于传输信号是由混沌动力学系统调制的，因此通过通信信道的发射信号的均衡是混沌探测信号的系统识别问题。结果表明，混沌方法的均衡性能优于传统的统计方法。这是在扩频通信系统中使用混沌的另一个好处。

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