A method for detecting mutations of wireless channel environment characteristic parameters

Abstract

The invention provides a wireless channel environment characteristic parameter mutation detection method. The wireless channel environment characteristic parameter mutation detection method comprisesthe steps of: calculating a shadow fading sequence by utilizing a wireless channel large-scale model; calculating an increment sequence of the shadow fading sequence; performing value assignment and value division processing on the increment sequence; according to the probability distribution of the increment sequence, calculating a prior state transition probability matrix of a wireless channel;calculating the similarity of the prior state transition probability matrix of the wireless channel, and counting the normal communication similarity fluctuation range; counting the number of state intervals, where monitoring sample signals practically are, at the next sampling time point, and calculating a monitoring data state transition probability matrix; and, calculating the similarity between the prior state transition probability matrix of the wireless channel and the monitoring data state transition probability matrix, and judging whether monitored channel environment characteristic parameters are mutated or not. The wireless channel environment characteristic parameter mutation detection method provided by the invention has the benefits that: operation is simple and rapid; real-time monitoring is conveniently realized; the method is relatively sensitive to abnormity generation; and abnormity generation can be accurately determined.

Description

technical field [0001] The invention belongs to the technical field of wireless channel feature extraction, and in particular relates to a method for detecting sudden changes in wireless channel environment feature parameters. Background technique [0002] In mobile communication, electromagnetic waves are used to transmit signals between the transmitting end and the receiving end. We can imagine that there are some invisible electromagnetic paths between the two, and these electromagnetic paths are called wireless channels. Wireless channels are closely related to the surrounding environment. Wireless channels in different environments have some differentiated characteristics. How to discover and extract these characteristics and apply them to optimize wireless networks is a current research hotspot. [0003] The large-scale attenuation characteristics of wireless channels are an important research content for wireless communication network planning and coverage prediction....

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical defect that the existing signal detection technology cannot meet the requirements of high-precision detection scenarios, the present invention provides a method that utilizes large-scale attenuation of wireless channels to collect shadow fading sequences, establishes a Markov transition probability matrix, and accurately and quickly detects whether the channel environment occurs method of mutation

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