In the spectrum sensing process, cooperative sensing method is to fuse the sensing results of multiple nodes in space to eliminate the influence of path shadow and deep fading and effectively improve accuracy and reliability of results. In order to ensure that the detection probability and the false alarm probability of the fusion result reach the standard, the cooperative decision criterion based on weighted fusion needs to make the perceptual result of each node reach the corresponding standard. Therefore, this paper proposes a method to set an appropriate perceptual threshold for each perceptual node to achieve optimization. Firstly, the analysis of each sensory node can obtain the relationship between the threshold and node weight under the condition of fixed detection probability and false alarm probability. Secondly, using the genetic algorithm, the weight is optimized to realize the weight optimization, the adaptive optimization process of perceptual threshold optimization. Finally, simulation results show that the proposed method can efficiently and accurately realize adaptive optimization of sensing threshold, thus ensuring the actual performance of cooperative spectrum sensing.

spectrum sensing  /  weighted cooperative sensing  /  sensing threshold  /  genetic algorithm  /  adaptive optimization