Cooperative spectrum detection method for cognitive radio based on neural network

Abstract

The invention discloses a cooperative spectrum detection method for cognitive radio based on a neural network, which comprises the following steps that: a cognitive user in a network unit has two states, namely a training period and a working period, and the cognitive user comprises a back propagation (BP) neural network module; the cognitive user in the training period carries out local spectrum detection, trains an own BP network by comparing detection results of a central node, predicts own correct detection probability, and does not participate in fusion; after the training period is over, the cognitive user enters the working period, uses the BP network to obtain a prediction value of the correct detection probability, carries out the local spectrum detection and participates in the fusion; the central node takes the prediction value of the correct detection probability of each cognitive user as reliability, and fuses each local detection result to obtain a final detection result; and the cognitive user in the working period judges whether the BP network is required to be corrected according to a particular case. In the method, factors of hidden terminal and instability of an electromagnetic environment are taken into full consideration in combination with the neural network and cooperative spectrum detection, so that the spectrum detection performance of a cognitive radio system is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a cooperative spectrum detection method in a cognitive radio network. Specifically, cooperative spectrum detection technology is a key technology of cognitive radio. On the one hand, cognitive users need to complete preliminary independent spectrum detection, and on the other hand, they need to cooperate with other users. The present invention combines spectrum detection, neural network and data Fusion technology improves the reliability of collaborative spectrum detection under the premise of ensuring feasibility. Background technique [0002] The concept of cognitive radio (Cognitive Radio, CR) originated from the groundbreaking work of Dr. Joseph Mitola of the Royal Swedish Institute of Technology in 1999, which provides a reliable solution to the problem of low spectrum utilization. Its core idea is to recognize the user, that is, the Secondary User (SU) to reli...

AI Technical Summary

Problems solved by technology

Among them, the fusion algorithm can reduce the false alarm probability, but the detection probability of the local detection results is too high; The trade-off between the two methods, but its uncertainty is too high; thus, none of the above methods is the most feasible collaborative spectrum detection method

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