【摘要】： 認(rèn)知無(wú)線電技術(shù)可以有效緩解頻譜分配與利用之間的矛盾。隨著頻譜資源日趨緊張，認(rèn)知無(wú)線電技術(shù)成為無(wú)線通信領(lǐng)域新的研究熱點(diǎn)。頻譜感知技術(shù)是決定認(rèn)知無(wú)線電能否實(shí)現(xiàn)的關(guān)鍵技術(shù)之一。 本文首先回顧了認(rèn)知無(wú)線電的由來(lái)及相關(guān)概念，通過(guò)對(duì)認(rèn)知無(wú)線電技術(shù)及其頻譜感知技術(shù)國(guó)內(nèi)外現(xiàn)狀的分析，確立了本文選題的理論依據(jù)。 本文在第二章分層次、分類(lèi)別地闡述了認(rèn)知無(wú)線電中現(xiàn)有的頻譜感知技術(shù)：從信號(hào)存在性的頻譜感知到信號(hào)覆蓋范圍的頻譜感知；從單節(jié)點(diǎn)的頻譜感知到多節(jié)點(diǎn)的頻譜感知。并且從原理的角度對(duì)上述各種頻譜感知技術(shù)進(jìn)行了詳細(xì)說(shuō)明及分析。 針對(duì)現(xiàn)有多節(jié)點(diǎn)的頻譜感知算法忽視各感知節(jié)點(diǎn)所處環(huán)境差異導(dǎo)致的各節(jié)點(diǎn)檢測(cè)可靠性不同這一問(wèn)題，本文在第三章提出了一種基于信任度的多節(jié)點(diǎn)頻譜感知算法，又稱(chēng)為基于信任度的分布式頻譜感知算法，將證據(jù)理論引入判決融合中，并以能量檢測(cè)為例，推導(dǎo)了AWGN信道條件下的檢測(cè)表達(dá)式，通過(guò)計(jì)算機(jī)仿真驗(yàn)證了：考慮了各節(jié)點(diǎn)檢測(cè)的信任度的分布式頻譜感知算法，在性能上明顯優(yōu)于現(xiàn)有的多節(jié)點(diǎn)頻譜感知算法。 隨著越來(lái)越多的人意識(shí)到頻譜分配與使用之間的矛盾，，認(rèn)知無(wú)線電技術(shù)的應(yīng)用范圍也隨之?dāng)U大。本文在第四章首先總結(jié)了IEEE 802.22(無(wú)線區(qū)域網(wǎng)絡(luò))工作小組對(duì)電視頻段上頻譜感知技術(shù)的應(yīng)用情況，隨后歸納了某些學(xué)者對(duì)GSM頻段的頻譜感知技術(shù)應(yīng)用的研究。 雖然IEEE 802.22工作小組對(duì)電視頻段的頻譜感知技術(shù)的研究工作進(jìn)行的如火如荼，但是其研究的主要對(duì)象集中于目前只被三個(gè)國(guó)家采納的數(shù)字電視信號(hào)——ATSC信號(hào)。針對(duì)這一現(xiàn)象，本文在第五章對(duì)廣泛采用的DVB-T電視信號(hào)進(jìn)行了研究，從單天線和多天線的角度，分別提出了針對(duì)DVB-T信號(hào)的頻譜感知算法，通過(guò)計(jì)算機(jī)仿真表明，所提算法具有較好的檢測(cè)性能。這部分內(nèi)容已被列入到IEEE802.22的提案文檔中。 總體而言，認(rèn)知無(wú)線電的出現(xiàn)為頻譜資源匱乏提供了可能的解決手段，具有重要的社會(huì)效益。頻譜感知技術(shù)作為認(rèn)知無(wú)線電能否實(shí)現(xiàn)的關(guān)鍵技術(shù)，本文對(duì)此進(jìn)行了較為深入的研究�；谛湃味鹊姆植际筋l譜感知算法克服了現(xiàn)有多節(jié)點(diǎn)頻譜感知算法存在的問(wèn)題；針對(duì)DVB-T信號(hào)的頻譜感知算法適用于任何具有循環(huán)前綴或?qū)б盘?hào)的OFDM信號(hào)的檢測(cè)。這些前瞻性的成果具有一定程度的理論及實(shí)際意義，具有廣泛的市場(chǎng)應(yīng)用前景。
[Abstract]:Cognitive radio technology can effectively alleviate the contradiction between spectrum allocation and utilization. With the increasing shortage of spectrum resources, cognitive radio technology has become a new research hotspot in wireless communication field. Spectrum sensing is one of the key technologies to determine whether cognitive radio can be realized. This paper first reviews the origin of cognitive radio and related concepts, through the cognitive radio technology and spectrum sensing technology at home and abroad analysis of the status quo, established the theoretical basis for this topic. In the second chapter, the existing spectrum sensing techniques in cognitive radio are described in the second chapter, which include spectrum sensing from signal existence to spectrum sensing over signal coverage, spectrum sensing from single node to multi-node spectrum sensing. The spectrum sensing techniques mentioned above are explained and analyzed in detail from the point of view of principle. In order to solve the problem that the existing multi-node spectrum sensing algorithms ignore the difference of detection reliability caused by the difference in the environment of each sensing node, this paper proposes a multi-node spectrum sensing algorithm based on trust degree in the third chapter. Also called distributed spectrum sensing algorithm based on trust degree, the evidence theory is introduced into the decision fusion, and the detection expression under AWGN channel condition is deduced by taking energy detection as an example. It is verified by computer simulation that the distributed spectrum sensing algorithm which considers the trust of each node detection is superior to the existing multi-node spectrum sensing algorithm in performance. As more and more people realize the contradiction between spectrum allocation and usage, the application of cognitive radio technology is expanded. In the fourth chapter, we first summarize the application of IEEE 802.22 (Wireless area Network) working group to the spectrum sensing technology in the television frequency band, and then summarize the research on the application of the spectrum sensing technology in the GSM band by some scholars. Although the working group of IEEE 802.22 is working in full swing on the spectrum sensing technology of television frequency band, the main object of its research is the digital television signal, which is only adopted by three countries at present. In the fifth chapter, the widely used DVB-T TV signal is studied. From the angle of single antenna and multiple antenna, the spectrum sensing algorithm for DVB-T signal is proposed, and the computer simulation shows that, The proposed algorithm has better detection performance. This section has been included in the IEEE802.22 proposal document. In general, the emergence of cognitive radio provides a possible solution to the scarcity of spectrum resources and has important social benefits. Spectrum sensing is the key technology of cognitive radio. The distributed spectrum sensing algorithm based on trust overcomes the problems of existing multi-node spectrum sensing algorithms. The spectrum sensing algorithm for DVB-T signals is suitable for any OFDM signal with cyclic prefix or guidance signal. These forward-looking results have a certain degree of theoretical and practical significance, and have a wide range of market application prospects.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2007
【分類(lèi)號(hào)】：TN92

【引證文獻(xiàn)】

相關(guān)期刊論文 前4條

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2 申濤;胡中豫;李高峰;李偉;;基于關(guān)聯(lián)分析的頻譜感知信息加權(quán)融合算法[J];火力與指揮控制;2010年12期

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4 吳玲玲;;快變信道下基于數(shù)據(jù)平滑的DVB-T信號(hào)頻譜感知[J];現(xiàn)代電子技術(shù);2012年09期

相關(guān)博士學(xué)位論文 前1條

1 劉婷婷;認(rèn)知無(wú)線電中關(guān)鍵技術(shù)的研究[D];南京理工大學(xué);2011年

相關(guān)碩士學(xué)位論文 前10條

1 劉星;認(rèn)知無(wú)線電系統(tǒng)的頻譜檢測(cè)算法研究[D];哈爾濱工程大學(xué);2010年

2 尹方方;認(rèn)知無(wú)線電中合作頻譜感知的研究[D];昆明理工大學(xué);2009年

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7 張玉;認(rèn)知無(wú)線電頻譜感知技術(shù)的研究[D];重慶大學(xué);2010年

8 江雪;認(rèn)知網(wǎng)絡(luò)中頻譜感知技術(shù)研究[D];重慶大學(xué);2010年

9 劉曉艷;基于D-S證據(jù)理論的協(xié)作頻譜感知技術(shù)研究[D];大連海事大學(xué);2012年

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本文編號(hào)：2186645