认知无线电网络中空间混淆数据存在时的定位研究  

Localization in Cognitive Radio Systems in the Presence of Spatially Obfuscated Data

作　　者：邓聪[1] 冀常鹏[2] 刘典[2] 

机构地区：[1]辽宁工程技术大学研究生学院,阜新123000 [2]辽宁工程技术大学电子与信息工程学院,阜新123000

出　　处：《计算机科学》2013年第12期169-173,185,共6页Computer Science

基　　金：辽宁省教育厅高等学校科学研究项目(202183385);国家自然科学基金(50374040)资助

摘　　要：认知无线电网络中,提高网络性能的一个重要手段是用二级用户感知频谱的结果定位主用户。然而,恶意的二级用户可能会混淆位置报告,破坏网络运行。主要解决具有不同置信度的二级用户存在时主用户的定位问题。在采用位置报告支持或推翻位置假设时,提出一种基于证据推理的算法,即在复杂或互相冲突信息存在的情况下,采用主观逻辑进行信息融合与位置推理。为实现该算法,通过对主观逻辑的扩展来适应自然存在于位置报告之间的空间关系。实现空间扩展后,提出对主用户位置的推理算法。最后通过大量仿真实验,对算法的性能以及采用不同设计参数对算法的影响进行分析,结果显示定位精确度可达到90%。最后,将本算法与其他定位算法进行仿真比较。Localizing primary users using spectrum sensing of secondary users is a key aspect for improved operations in cognitive radio networks. However,malicious secondary users may obfuscate their location reports causing disruption in the network. This paper mainly solve the problem of primary user localization in the presence of secondary users of var- ying trust. Using localization reports in support of （or against） hypotheses about user locations, we developed the foun- dations of an evidential reasoning-based approach that uses subjective logic for information fusion and inferencing for lo- calization in the presence of incomplete and conflicting knowledge. To do so,we exploited extensions of subjective logic that accommodate the spatial relationships naturally existing between location reports. After highlighting spatial exten- sions, we applied them in building an inferencing algorithm for primary user localization. Through simulations, we ana- lyzed its performance and the effect of various design parameters, showing 90% accuracy in localization. Finally, we compared it with other localization techniques via simulations.

关 键 词：认知无线电 主用户定位 证据推理 DS理论 SASL 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术]