Distributed collaborative signal identification method based on blind estimation of higher order statistics and signal to noise ratio

Abstract

A distributed collaborative signal identification method based on blind estimation of higher order statistics and signal to noise ratio includes the following steps: establishing feature space; enabling collected features and estimated signal to noise ratio to be input as smart volume management (SVM) aiming at modulating signals of special types, and establishing a modulation signal recognition classifier; and the third step is that each sensor node makes blind estimation for signal to noise ratio of received signals and transmits characteristic parameters together with the signal to noise ratio to a fusion center, and the fusion center distributes weights for each sensor node by utilizing the signal to noise ratio, obtains fused characteristic parameters and thus performs modulation type identification. Compared with the prior art, as for a single sensor node, the algorithm is capable of maintaining high identification probability on the condition of low signal to noise ratio, identified signals are rich in variety, and by making blind estimation for the signal to noise ratio and performing fusion at a feature level, identification accuracy rate of target signals still can be maintained on the premise that a plurality of sensor node channels have extremely poor conditions.

Description

technical field [0001] The invention relates to a distributed signal identification method used in an electromagnetic spectrum monitoring system, in particular to a distributed cooperative signal identification method based on high-order statistics and blind estimation of signal-to-noise ratio. Background technique [0002] At present, the wireless sensor network has the characteristics of high monitoring accuracy, good system fault tolerance and remote monitoring, which makes it have broad application prospects in the field of spectrum monitoring. In the field of information warfare, the interception receiver needs to identify the threat and provide a basis for the decision-making system to choose an effective anti-jamming strategy. Among them, the identification of signal modulation mode is one of the important functions of the interception receiver and an important part of the electronic support system. one of the contents. In cognitive radio systems, cognitive users sho...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the current modulation recognition technology is based on the existing single node being affected by environmental changes when the

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