Application of markov model in wireless channel anomaly detection

In wireless channel anomaly detection, the existing energy detection method based on large-scale fading modeling is simple and fast, but it ignores the real-time and random characteristics of shadow fading in the detection process. Markov model is used in wireless channel modeling It has a good application prospect and can be effectively applied to the dynamic analysis of shadow fading. Through the statistical analysis of the similarity change threshold of the prior Markov model matrix, the similarity between the prior and real-time Markov model matrix is calculated, and the shadow fading is detected. Whether the change rule changes, realizes the anomaly detection of the wireless channel environment. As a supplement to the large-scale fading modeling energy detection method, this method can improve the detection coverage and improve the detection accuracy. The results of multiple simulation experiments show that in the Gaussian white noise This method can achieve accurate detection when intrusion.

Application of markov model in wireless channel anomaly detection Academic Article