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首页> 外文期刊>IEEE Transactions on Circuits and Systems. 1 >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：基于混沌的系统辨识及其在混沌调制系统均衡中的应用

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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 called minimum 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 chaotic dynamical 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 superior to the conventional statistical method. This is another benefit for using chaos in a spread spectrum communication system.
机译：在本文中，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。由于混沌信号具有固有的确定性，因此将一种称为最小相空间体积（MPSV）技术的基于动态的新估计方法应用于识别AR系统。结果表明，该混沌方法不仅可以提供准确的识别，而且在混沌方法具有较小的均方误差（MSE）的意义上，它比常规的统计方法更有效，并且鲁棒性强，不需要订单确定程序。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，因此通过通信信道对传输信号进行均衡是利用混沌探测信号进行系统识别的问题。据观察，混沌方法的均衡性能优于常规统计方法。这是在扩频通信系统中使用混沌的另一个好处。

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