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中文摘要：
由于受多径衰落、阴影效应等因素的影响,单个认知用户常常不能提供非常可靠的感知结果,因此提出了融合多个认知用户感知结果的协作频谱感知算法来提高频谱感知性能。针对协作频谱感知算法中,忽略了不同认知用户的环境差异,以及D-S证据理论合成规则中,忽略了证据之间的相对冲突问题,提出了一种基于改进的D-S证据理论的协作频谱感知算法。该算法选择能量检测法得到本地感知结果,再利用改进的D-S证据理论对感知结果进行融合和判决。通过仿真验证了所提算法相比于D-S证据理论和硬判决的协作感知算法,在感知性能上有明显的提高。
英文摘要：
Due to the multipath fading and shadow effect that would influence the transmission quality,a single cognitive user always cannot provide very reliable sensing results,then the cooperative spectrum sensing algorithm has been proposed to improve the spectrum sensing performance through fusing the results of a set of cognitive users.In order to solve the problem that conventional multi-user cooperative spectrum sensing ignores the difference of environments and Dempster-Shafer evidence theory combining rule neglects the extent of evidence conflicts,a spectrum sensing algorithm based on improved D-S evidence theory is proposed.This algorithm selects the energy detection method to get the local sensing result,which is fused and judged on the through the fusion rules of improved D-S evidence theory.Experiments show that the proposed algorithm has a better performance than conventional cooperative spectrum sensing algorithm based on D-S evidence theory and hard-decisions.
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同项目期刊论文
Enabling End-to-End Communication Between Wireless Sensor Networks and the Internet Based on 6LoWPAN
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