Estimation of the Spectrum Sensing for the Cognitive Radios: Test Analysing Using Kalman Filter

Abstract

Nowadays, the spectrum becomes more crowded and to solve this problem we use the cognitive radio technology, cognitive radio is a promising technology used to improve of spectrum utilization. Among important functions of the cognitive radio is the spectrum sensing. Most of the research works on the spectrum sensing for the cognitive radio networks are considered in a fixed temporal state, they are ignored impact of the mobility of a secondary user. We interested in the concept of the spectrum sensing in realtime. In this paper, we propose an algorithm that examined the impact of the mobility of a secondary user to determine the parameters that affect the spectrum sensing in cognitive radio networks. The performance of the algorithm proposed is evaluated with simulations and results, and of course we will finish by a conclusion and a future perspective.

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