Spectrum sensing method based on optimal stochastic resonance under condition of low signal to noise ratio
A stochastic resonance, low signal-to-noise ratio technology, applied in the field of spectrum sensing, can solve the problem of difficulty in detecting the detection probability of weak main user signals, and achieve the effect of improving adaptability and improving signal-to-noise ratio.
Active Publication Date: 2015-05-06
NANJING UNIV OF POSTS & TELECOMM
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[0005]Technical problem: The purpose of this invention is to provide a method that can solve the problem that weak primary user signals are difficult to detect and the detection probability is low in the case of high environmental noise , Optimal Stochastic Resonance-Based Spectrum Sensing Method Under Low SNR Conditions to Improve the Stochastic Resonance System's Adaptability to Environmental Noise
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[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0026] figure 1 It is a schematic diagram of the cognitive user perception scene of the present invention. The present invention considers the perception scene where there are fusion centers, main users and cognitive users, and the functions of each component are as follows:
[0027] Primary User (PU): Indicates the primary user, also known as the authorized user. The purpose of recognizing the user is to perceive and determine whether it can occupy its authorized spectrum.
[0028] Secondary User (SU): Indicates the cognitive user, responsible for sampling the signal sent by the primary user PU, and sending the sampling result to the fusion center FC.
[0029] Fusion Center (FC): Indicates the fusion center, which is mainly responsible for receiving the sampling signals of each cognitive user SU, processing and transforming the sampling si...
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The invention discloses a spectrum sensing method based on optimal stochastic resonance under the condition of low signal-to-noise ratio, which includes: cognitive user sampling step size h and initial value setting of stochastic resonance system parameter b. Cognitive users send sampled signals to the fusion center. The fusion center calculates the variance of the mixed signal based on the sampling data, and then calculates and adjusts the parameter a of the stochastic resonance system, so that the stochastic resonance system and the mixed signal with low signal-to-noise ratio collected by the cognitive user can achieve the best match. The fusion center performs FFT fast Fourier transform on the output signal of the optimal stochastic resonance system, and uses the cognitive radio spectrum sensing algorithm to detect the output signal to determine whether the primary user signal exists. Through the method proposed by the invention, the stochastic resonance system can adaptively change the system parameters according to the environmental noise, effectively solving the problem of weak signal detection.
Description
technical field [0001] The invention relates to a method suitable for low signal-to-noise ratio environment and using the stochastic resonance principle in cognitive radio for spectrum sensing. Background technique [0002] Wireless communication spectrum is a very valuable natural resource, generally authorized by the government. The wireless spectrum allocation method is to permanently authorize a certain section of spectrum to a user. With the development of wireless services, wireless spectrum resources are gradually scarce, and the disadvantages of fixed spectrum allocation are constantly emerging. In practical applications, the frequency requirements are very tight mainly in the wireless frequency bands with a frequency band of 300MHz-3GHz. Some frequency bands are not used by users most of the time, and some are only occasionally occupied, while other frequency bands are relatively used. very often. How to improve spectrum utilization has become a technical issue t...
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IPC IPC(8): H04B17/382
Inventor 张登银孙辉王雪梅程春玲
Owner NANJING UNIV OF POSTS & TELECOMM