Research On Cognitive Radio Technology Based On Compressed Sensing

The contradiction between growing spectrum requirements and limited spectrum resource has became the primary factor in the development of wireless communications. Cognitive radio technology, as one way to solve this contradiction, has the ability to perceive the surrounding environment and adaptive spectral spectrum environment, we can ensure high reliability of wireless communication at any time and any place, and can effectively use the limited spectrum resources. The spectrum sensing, dynamic spectrum allocation and spectrum management are the three key technologies in Cognitive radio.In this paper, spectrum sensing techniques based on compressed sensing, multi- user cooperative spectrum sensing algorithms are analyzed and studied. Details are as follows: Firstly, this paper introduces the background, definitions, and development of cognitive radio technology. This paper also briefly describes several common spectrum sensing technology. And we classify different spectrum sensing technology by the number of users. Secondly, considering the high requirements on the detection performance in C RN, this paper analyzes the compressed sensing based cooperative spectrum sensing scheme, we give the mathematical description and implementation steps. Then there is the measurement noise is added for the case, this paper also presents an improved compressed sensing and Reconstruction Algorithm, the algorithm uses a differential signal adaptive matching pursuit algorithm(DSSAMP algorithm) on the way the signal processing, using a threshold shrinkage iterative algorithm. Finally, under the matlab environment several spectrum sensing algorithms described herein are simulated. Experimental results show that at low SN R, compared to a threshold based on differential shrinkage iterative reconstruction algorithm of DSSAMP algorithm on the accuracy of the reconstruction delay and reconstruction have greater improvement.