基于改进混合蛙跳算法的认知无线电协作频谱感知

Cooperative spectrum sensing for cognitive radios based on a modified shuffled frog leaping algorithm

提出了一种改进的混合蛙跳算法(shuffled frog leaping algorithm,SFLA),并提出了基于改进SFLA的认知无线电协作频谱感知方法,通过仿真对改进SFLA算法性能与传统SFLA算法性能进行了比较,并对本文提出的基于改进SFLA的协作感知方法与已有的基于修正偏差因子(modified deflection coefficient,MDC)的协作感知方法性能进行了比较.结果表明改进SFLA算法性能优于传统SFLA;基于改进SFLA的协作感知方法比MDC方法能获得更大的检测概率,验证了基于改进SFLA的协作感知方法的优越性.

A modified shuffled frog leaping algorithm （SFLA） and cooperative spectrum sensing for cognitive radios based on the modified SFLA are proposed. Simulations are performed to compare the performance of the modified SFLA and traditional SFLA. The performance of the proposed cooperative spectrum sensing method based on the modified SFLA and that of the cooperative spectrum sensing method using modified deflection coefficient （MDC） are also compared. Results show that the proposed SFLA outperforms the traditional SFLA,and the proposed cooperative spectrum sensing method based on the modified SFLA gives higher detection probability than the MDC-based method,which validates the effectiveness of the modified SFLA-based cooperative sensing method.