Blind collaboration spectrum sensing method based on soft fusion strategy

Abstract

The invention discloses a blind collaboration spectrum sensing method based on a soft fusion strategy. The method comprises the following processing flows: firstly, a sampling module in each sensing node samples a receiving signal from the same monitoring channel to obtain a sampling signal corresponding to each sensing node; and then, each sensing node computes the estimation variance of the estimation power and the instantaneous power of the corresponding sampling signal; each sensing node uploads the estimation variance of the estimation power and the instantaneous power of the corresponding sampling signal to a data fusion center; the data fusion center computes the test statistics; and finally, the data fusion center realizes the spectrum sensing by comparing the test statistics withthe judgment threshold, and judges whether an authorized user signal is existent in the monitoring channel; the method disclosed by the invention has the advantage that the hidden terminal problem ofthe sensing node can be well overcome without knowing the authorized user signal and the priori information of a wireless channel, and the sensing performance of the spectrum can be effectively improved.

Description

technical field [0001] The invention relates to a spectrum sensing technology in a cognitive radio system, in particular to a blind cooperative spectrum sensing method based on a soft fusion strategy. Background technique [0002] The limited availability of physical spectrum resources, the rapid development of wireless communication technology and the substantial increase in people's demand for data rates constitute a major contradiction in the development of today's wireless communication field. However, a large number of research results show that the existing fixed spectrum allocation strategy makes many spectrum resources cannot be fully utilized. How to improve the utilization of spectrum resources is a problem that people care about, and cognitive radio technology provides a feasible solution to this problem. Cognitive radio technology means that wireless devices can interact with the communication environment and change their own transmission parameters according to...

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Problems solved by technology

Therefore, there are many studies on energy detection methods based on certain fusion criteria, such as: in 2008, JMa et al. in the document "Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks" (using soft fusion detection in cognitive radio networks Cooperative Spectrum Sensing Method) pointed out that under the condition of Gaussian channel and large receiving signal-to-noise ratio, when the receiving energy of each sensing node adopts equal-gain fusion method for cooperative spectrum sensing, it will obtain approximately optimal detection performance, but, When the sensing node faces deep fading or hidden terminal problems, the detection performance of this method will be affected, and the performance decline will be more obvious as the number of hidden terminals increases

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