Broadband cognitive radio frequency spectrum detection method based on parallelly compressed sensing

Abstract

The invention discloses a broadband cognitive radio frequency spectrum detection method based on parallelly compressed sensing. The realization process is as follows: using each parallel subcircuit of a frequency spectrum detector to carry out independent compressed sensing on received signals to obtain a group of random sampling points of each subcircuit; using single restoration algorithm to reconstruct original signals and frequency domain signals thereof in the obtained sampling points; carrying out wavelet transformation on the reconstructed frequency domain signals to obtain a group of wavelet transformation coefficients; calculating the mean square error between the reconstructed original signals of each subcircuit and the received signals; multiplying the wavelet transformation coefficients of two subcircuits with the minimum mean square error and taking the maximum value to obtain the position of each sub-band, and taking the reconstructed frequency domain signal of the subcircuit with the minimum mean square error as the reconstructed frequency domain signal for final output to finish the detection of the cognitive radio frequency spectrum. The invention can reduce noiseand the influence of randomness of the sampling points, thus improving the probability of correct detection.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a spectrum detection method in cognitive radio, which can be used for spectrum detection of broadband cognitive under the condition of broadband cognitive radio. Background technique [0002] The radio communication spectrum is a precious and limited resource, which is allocated and authorized by the state. Generally, a frequency band is only used independently by one wireless communication system for a long time, and different wireless communication systems use different frequency bands without interfering with each other. Since the beginning of the 21st century, with the rapid development of wireless communication technology, especially in recent years, spectrum-based services and equipment have increased significantly, people's demand for spectrum resources has also increased, and spectrum resources have become increasingly scarce. A fixed spectrum allocation strategy is ...

AI Technical Summary

Problems solved by technology

This method uses undersampling, although it can reduce the hardware requirements when detecting the entire broadband, and can also detect the available spectrum resources with a certain accuracy, but this method still has some defects, due to noise, signal randomness , and under-sampling to get the randomness of sampling points and other factors, so that the detection performance is not very good, especially when the signal-to-noise ratio is low, the probability of correct detection is low

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