Stability conditions for optimal filtering over cognitive radio system

Xiao Ma, S. Djouadi, Husheng Li
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引用次数: 3

Abstract

Cognitive radio system is a very popular area in the communication community as it saves money and bandwidth by sensing the available licensed spectrum for unlicensed users. This advantage provides a promising future for the application of cognitive radio in control systems. In this paper, we propose to communicate through a cognitive radio link between the sensor and the estimator. In this way, the state estimator needs to adjust to this new communication link as the link is affected by the interruptions from primary users. We assume the emergence of primary users results in packet losses. The link is assumed to be governed by multiple semi-Markov processes each of which can capture and represent one channel in it. We derive sufficient conditions for the stability of the peak covariance process of the optimal filter. A numerical example is given to demonstrate the theorems.
认知无线电系统最优滤波的稳定性条件
认知无线电系统在通信领域是一个非常受欢迎的领域,因为它通过感知未授权用户可用的许可频谱来节省资金和带宽。这一优势为认知无线电在控制系统中的应用提供了广阔的前景。在本文中,我们建议通过传感器和估计器之间的认知无线电链路进行通信。在这种情况下,状态估计器需要适应这个新的通信链路,因为该链路受到主要用户中断的影响。我们假设主要用户的出现会导致数据包丢失。假设链路由多个半马尔可夫过程控制,每个过程可以捕获并表示其中的一个通道。给出了最优滤波器峰值协方差过程稳定性的充分条件。最后给出了一个数值例子来证明这些定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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