Cooperative interference detection method based on support vector machine

Abstract

The invention discloses a cooperative interference detection method based on a support vector machine. The method comprises the following steps: firstly, respectively operating different categories of interference signals to obtain the characteristic parameters of the interference signals, and training the support vector machine through the obtained characteristic parameters to obtain a classification model of the support vector machine; secondarily, carrying out energy detection on the receiving signals of a plurality of nodes to obtain an interference detection result; transmitting the interference detection result and the characteristic parameters of the signals to a data fusion center, determining whether the interference signals exist according to the interference detection result by using the data fusion center, and if the interference signals exist, carrying out interference identification on the interference signals based on a support vector machine algorithm to determine the interference category. The cooperative interference detection method disclosed by the invention can be used for accurately identifying the characteristics of the interference signals and effectively resisting multi-path fading.

Description

technical field [0001] The invention relates to the extraction of interference signal characteristic parameters, an interference identification method based on energy detection, an interference classification method based on a support vector machine and interference information fusion, and is particularly suitable for multi-point cooperative interference identification in the field of wireless communication technology. Background technique [0002] Compared with multi-point cooperative interference identification, single-node interference identification has problems such as occlusion and channel fading, resulting in inaccurate interference identification results: some nodes cannot detect interference due to occlusion, resulting in missed detection, while some nodes are due to channel False detection and missed detection are caused by fading and other reasons. Especially in broadband wireless transmission, there is also multipath fading when the interference signal arrives at...

AI Technical Summary

Problems solved by technology

[0002] Compared with multi-point cooperative interference identification, single-node interference identification has problems such as occlusion and channel fading, resulting in inaccurate interference identification results: some nodes cannot detect interference due to occlusion, resulting in missed detection; False detection and missed detection due to fading and other reasons

Especially in broadband wireless transmission, there is also multipath fading when the interference signal arrives at the receiver

The interference signal received by the receiver will have a large fading in the frequency domain, and the interference detection and identification of one node alone cannot accurately obtain the characteristics of the interference signal

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