Research on spectrum sensing algorithm based on smart grid

Abstract

Broadband micro-power (BMP) wireless communication system is a power wireless private network system researched and developed on unlicensed spectrum resources to meet the communication needs of smart grid systems. Although the introduction of spectrum sensing technology of cognitive radio (CR) has alleviated the current problem of shortage of spectrum resources in smart grids, the sensing accuracy of order users under low signal-to-noise ratio still needs to be improved. To solve the above problems, this paper proposes a Variable Step Size Least Mean Square (VSS-LMS) spectrum sensing algorithm based on variable step size. When estimating the amplitude of the originally transmitted signal, the algorithm adds two parameters as a regulator, which can flexibly adjust the step size and smooth the error signal, to solve the contradiction between convergence speed and steady-state error and realize efficient spectrum sensing. Simulation results show that the proposed algorithm not only has good convergence, but also has good detection performance under low signal-to-noise ratio. Compared with the energy detection algorithm and LMS spectrum sensing algorithm, the spectrum detection performance of the system is improved.

Keywords

• smart grid
• broadband micro-power
• cognitive radio
• spectrum sensing
• least mean square algorithm
• variable step size component