本文選題：頻譜感知　切入點(diǎn)：功率識(shí)別　出處：《重慶郵電大學(xué)》2015年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著純語(yǔ)音通信到多媒體業(yè)務(wù)的轉(zhuǎn)換，通信業(yè)務(wù)對(duì)數(shù)據(jù)傳輸率要求越來(lái)越高。然而，由于頻譜資源的有限性，傳統(tǒng)的靜態(tài)頻譜分配機(jī)制已經(jīng)不能適應(yīng)越來(lái)越多的高速率傳輸設(shè)備的要求。這導(dǎo)致一些無(wú)線頻譜過(guò)度擁擠，而另一些頻譜很少、或者基本沒(méi)有被使用的情況。認(rèn)知無(wú)線電被看作是提高頻譜利用率，解決頻譜資源匱乏最具潛力的技術(shù)。認(rèn)知網(wǎng)絡(luò)中，在授權(quán)頻段空閑或者次級(jí)用戶(hù)對(duì)主用戶(hù)的干擾低于一定水平時(shí)，次級(jí)用戶(hù)通過(guò)頻譜感知接入授權(quán)給主用戶(hù)的頻段。因此，頻譜感知是認(rèn)知無(wú)線電網(wǎng)絡(luò)中最重要的技術(shù)。 本文主要研究了主用戶(hù)多傳輸功率場(chǎng)景下，基于匹配濾波器的頻譜感知和功率識(shí)別算法。與傳統(tǒng)的二元檢測(cè)只判定主用戶(hù)的忙閑狀態(tài)相比，本文不但能判斷主用戶(hù)的忙閑狀態(tài)，而且能識(shí)別主用戶(hù)的傳輸功率。本文首先對(duì)認(rèn)知無(wú)線電的背景、關(guān)鍵技術(shù)、發(fā)展現(xiàn)狀以及面臨的挑戰(zhàn)進(jìn)行了概述，，并分析了現(xiàn)有主要頻譜檢測(cè)技術(shù)。其次，提出了更合理的主用戶(hù)多傳輸功率場(chǎng)景下的頻譜感知方法，包括基于分組檢測(cè)法的頻譜感知和功率識(shí)別算法以及基于直接檢測(cè)法的頻譜感知和功率識(shí)別算法，且這兩種算法都討論了信道相位已知和信道相位未知的情況。在分組檢測(cè)法中，將主用戶(hù)狀態(tài)分為忙閑兩組，算法的第一步?jīng)Q定主用戶(hù)的忙閑狀態(tài)，第二步識(shí)別主用戶(hù)的傳輸功率；而直接檢測(cè)法能同時(shí)識(shí)別主用戶(hù)的忙閑狀態(tài)和傳輸功率，不再分成兩個(gè)步驟實(shí)現(xiàn)。 最后，本文研究了主用戶(hù)多傳輸功率場(chǎng)景下的協(xié)作頻譜感知和功率識(shí)別算法，分別討論了多數(shù)判決融合和最佳判決融合兩種協(xié)作頻譜感知方法。通過(guò)仿真對(duì)比了兩種協(xié)作頻譜感知方法的性能以及單用戶(hù)頻譜感知和協(xié)作頻譜感知的性能。
[Abstract]:With the conversion of pure voice communication to multimedia service, the requirement of data transmission rate is becoming higher and higher. However, due to the limitation of spectrum resources, The traditional static spectrum allocation mechanism can no longer meet the requirements of more and more high-speed transmission devices. This results in some wireless spectrum being overcrowded and others having little spectrum. Or basically not being used. Cognitive radio is seen as the most promising technology to improve spectrum efficiency and solve the scarcity of spectrum resources. In cognitive networks, When the authorized frequency band is idle or the interference of the secondary user to the primary user is lower than a certain level, the secondary user accesses the frequency band authorized to the primary user through spectrum sensing. Therefore, spectrum sensing is the most important technology in cognitive radio network. In this paper, the spectrum sensing and power recognition algorithms based on matched filter are studied in the multi-transmission power scenario of primary users, compared with the traditional binary detection, which only determines the busy state of the primary user. This paper not only can judge the busy and idle state of the primary user, but also can identify the transmission power of the primary user. Firstly, the background, key technologies, development status and challenges of cognitive radio are summarized in this paper. The main spectrum detection techniques are analyzed. Secondly, a more reasonable spectrum sensing method based on multi-transmission power scenario is proposed. It includes spectrum sensing and power recognition algorithm based on packet detection method and spectrum sensing and power identification algorithm based on direct detection method. In the packet detection method, the primary user states are divided into two groups, and the first step of the algorithm determines the busy state of the primary user. The second step is to identify the transmission power of the primary user, while the direct detection method can recognize the busy state and the transmission power of the primary user simultaneously, and can not be realized in two steps. Finally, this paper studies the cooperative spectrum sensing and power recognition algorithms in multi-transmission power scenarios of primary users. Two kinds of cooperative spectrum sensing methods, majority decision fusion and optimal decision fusion, are discussed, and the performance of the two cooperative spectrum sensing methods and single user spectrum sensing and cooperative spectrum sensing are compared by simulation.
【學(xué)位授予單位】：重慶郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN713

【參考文獻(xiàn)】

中國(guó)期刊全文數(shù)據(jù)庫(kù) 前1條

1 郭彩麗;張?zhí)炜?曾志民;馮春燕;;認(rèn)知無(wú)線電關(guān)鍵技術(shù)及應(yīng)用的研究現(xiàn)狀[J];電信科學(xué);2006年08期

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