本文關(guān)鍵詞：基于證據(jù)可信度的D-S理論協(xié)作頻譜感知方法　出處：《計(jì)算機(jī)測(cè)量與控制》2016年12期 　論文類型：期刊論文

  更多相關(guān)文章： 協(xié)作頻譜感知 D-S證據(jù)理論 高沖突數(shù)據(jù) 證據(jù)可信度

【摘要】：D-S證據(jù)理論頻譜感知算法中,針對(duì)當(dāng)協(xié)作用戶數(shù)增加時(shí)所引起的報(bào)告數(shù)據(jù)量迅速增大、帶寬開銷增加問題,將本地測(cè)量統(tǒng)計(jì)量中不確定度分配到確定信息中,減少了向融合中心發(fā)送的數(shù)據(jù)量,有效降低了帶寬開銷;其次,針對(duì)高沖突數(shù)據(jù)對(duì)D-S證據(jù)理論融合結(jié)果影響大的問題,通過評(píng)估每個(gè)證據(jù)的可信度,將可信度作為權(quán)重來計(jì)算加權(quán)平均證據(jù),降低了高沖突證據(jù)對(duì)融合結(jié)果的影響;仿真結(jié)果表明,所提方法在有效降低了報(bào)告帶寬開銷的同時(shí),能夠減少高沖突證據(jù)對(duì)融合結(jié)果的影響。
[Abstract]:In the spectrum sensing algorithm of D-S evidence theory, when the number of cooperative users increases, the amount of report data increases rapidly and the bandwidth overhead increases. The uncertainty in the local measurement statistics is allocated to the determination information, which reduces the amount of data sent to the fusion center and effectively reduces the bandwidth overhead. Secondly, aiming at the problem that high conflict data have great influence on the fusion result of D-S evidence theory, the credibility of each evidence is evaluated and the weighted average evidence is calculated by using the credibility as the weight. The influence of high conflict evidence on fusion results is reduced. Simulation results show that the proposed method can effectively reduce the bandwidth overhead and reduce the impact of high conflict evidence on the fusion results.
【作者單位】： 四川大學(xué)電子信息學(xué)院;四川大學(xué)錦江學(xué)院;
【分類號(hào)】：TN925
【正文快照】： 0引言 頻譜感知是認(rèn)知無線電(C0g—CR)技術(shù)中《鍵的組成部分。認(rèn)}0戶(ragnitiveusen CU)iiii曑目頻譜環(huán)境進(jìn)行感知,尋翻頻譜空穴,將機(jī)會(huì)式，

本文編號(hào)：1423117