Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network

Abstract

The invention discloses a cognitive radio frequency spectrum perception method based on compressed sensing and a BP (back-propagation) neural network. The method of the invention comprises a training process and an actual detection process. The training process comprises: carrying out compression sampling whose rate is lower than a Nyquist sampling rate on an original signal of cognitive radio; carrying out 1-bit quantification processing on sampling data; taking the compression sampling data after the quantification processing as training input, taking an actual frequency band occupancy situation as training output, and training a BP neural network detector. The actual detection process comprises: carrying out the compression sampling on the original signal of the cognitive radio and carrying out the 1-bit quantification processing on the sampling data; inputting the compression sampling data after the quantification processing into the trained BP neural network detector so as to obtain the output, wherein the output is the frequency spectrum occupancy situation of the cognitive radio. The invention also discloses a cognitive radio frequency spectrum perception system which uses the above method. By using the method of the invention, algorithm complexity is low and real-time performance of the frequency spectrum detection can be greatly increased.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a cognitive radio spectrum sensing method and system. Background technique [0002] With the extensive development of wireless communication services, spectrum resources are increasingly scarce. The main reason is that the wireless spectrum access technology is unreasonable—existing wireless communication systems all use low-efficiency fixed channel allocation strategies. Cognitive radio is considered to be one of the most effective new technologies to solve this problem. It allows cognitive users to share the frequency band without affecting the normal communication of legitimate users in the frequency band. [0003] Spectrum sensing technology is an important basic link in the design of cognitive wireless networks. Only by knowing the spectrum usage of primary users in real time and quickly can the secondary use of wireless spectrum be realized and th...

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention lies in the disadvantages of high computational complexity and poor real-time performance of online detection in the prior art. It provides a cognitive radio spectrum sensing method and system based on compressed sensing and BP neural network, which combines compressed sensing technology It is applied to the spectrum detection of cognitive radio, and replaces the complex reconstruction algorithm with BP (Back-Propagation) neural network, and transfers the computational complexity from online detection to offline network training, thus greatly improving the real-time performance of online detection of the detection system

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