【摘要】：文中考慮在船舶自組網(wǎng)中應用認知無線電技術,并對該應用在近海環(huán)境中的頻譜檢測算法展開了深入研究。以往研究描述了基于認知無線電技術的船舶自織網(wǎng)中主用戶節(jié)點的隱藏問題。考慮到該網(wǎng)絡的動態(tài)拓撲結(jié)構(gòu)以及在海洋通信環(huán)境中難以尋找固定中心節(jié)點的限制,曾提出了一種離散式協(xié)作頻譜檢測算法,并采用自加權方式對檢測結(jié)果做出修正,提高了算法可靠性。文中介紹了近海環(huán)境中自加權分布式頻譜檢測算法存在的問題。在近海區(qū)域,由于船舶密度較大,用戶之間干擾增加,使得離散式頻譜檢測方法的可靠性降低。針對近海區(qū)域的通信場景,進一步改進了現(xiàn)有的頻譜檢測算法,即提出了集群分布式協(xié)作頻譜檢測算法,并且通過仿真驗證了所提算法在近海環(huán)境中的有效性。
[Abstract]:In this paper, we consider the application of cognitive radio technology in marine ad hoc networks, and further study the spectrum detection algorithm in offshore environment. Previous studies have described the problem of hiding primary user nodes in ship self-weaving networks based on cognitive radio technology. Considering the dynamic topology of the network and the limitation of finding fixed center nodes in the ocean communication environment, a discrete cooperative spectrum detection algorithm was proposed, and the detection results were modified by self-weighted method. The reliability of the algorithm is improved. The problems of self-weighted distributed spectrum detection algorithm in offshore environment are introduced in this paper. In the offshore area, the reliability of the discrete spectrum detection method is reduced because of the high density of ships and the increase of interference between users. For the communication scene in offshore area, the existing spectrum detection algorithm is further improved, that is, cluster distributed cooperative spectrum detection algorithm is proposed, and the effectiveness of the proposed algorithm in offshore environment is verified by simulation.
【作者單位】： 河海大學物聯(lián)網(wǎng)工程學院;深圳華為技術有限公司;
【基金】：國家自然科學基金(61273170) 中央高�；究蒲袠I(yè)務費專項資金(2015B30614;2015B25214) 江蘇省自然科學基金(BK20141157;BK20160287)資助項目
【分類號】：U665.2;TN925
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本文編號：2328226