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  本文選題：信道衰落 + 協(xié)作頻譜感知　； 參考：《內(nèi)蒙古大學》2014年碩士論文

【摘要】：認知無線電是一種智能的無線通信技術(shù),可以有效地解決頻譜共享問題。本文在深入研究認識無線電技術(shù)的基礎上,重點探討了其關(guān)鍵技術(shù)之一的頻譜感知技術(shù),并完成以下創(chuàng)新性研究成果： 針對信道衰落和多徑衰落對認知無線電協(xié)作頻譜感知性能的影響,本文基于位置和信道兩個方面優(yōu)化了多簇協(xié)作頻譜感知,并結(jié)合改進的雙門限能量檢測提高頻譜感知性能。改進的雙門限能量檢測是把處于兩個門限值之間的檢測能量值也傳送到數(shù)據(jù)融合中心,數(shù)據(jù)融合中心根據(jù)網(wǎng)絡期望的目標虛警概率得到網(wǎng)絡門限值,據(jù)此將該能量值做融合處理,并參與網(wǎng)絡的判決。仿真結(jié)果表明,該算法的頻譜感知準確度高于傳統(tǒng)的基與位置的分簇協(xié)作頻感知算法,可以提高整個網(wǎng)絡的頻譜感知性能。 針對采用雙門限能量檢測給網(wǎng)絡帶來的通信流量大,占用控制信道較寬的問題,對簇內(nèi)的改進雙門限能量檢測協(xié)作頻譜感知算法進一步優(yōu)化。在保證感知性能的前提下,適當減少簇內(nèi)參與協(xié)作感知的認知用戶數(shù)量,以此降低整個網(wǎng)絡在頻譜感知時所需要的通信流量和網(wǎng)絡消耗。仿真結(jié)果表明,當信噪比為l0dB時,優(yōu)化后的整個網(wǎng)絡的檢測概率從75%提高到99%。 本文在最后對全文進行了總結(jié),并對認知無線電的分簇協(xié)作頻譜頻譜感知技術(shù)進行了展望。
[Abstract]:Cognitive radio is an intelligent wireless communication technology, which can effectively solve the problem of spectrum sharing. On the basis of in-depth research and understanding of radio technology, this paper focuses on spectrum sensing technology, one of its key technologies, and completes the following innovative research results: Aiming at the influence of channel fading and multipath fading on cognitive radio cooperative spectrum sensing performance, this paper optimizes multi-cluster cooperative spectrum sensing based on location and channel, and improves spectrum sensing performance by combining improved dual-threshold energy detection. The improved double threshold energy detection is to transmit the detection energy between two threshold values to the data fusion center. The data fusion center obtains the network threshold value according to the expected false alarm probability of the network. Based on this, the energy value is fused and involved in the judgment of the network. Simulation results show that the spectrum sensing accuracy of the proposed algorithm is higher than that of the traditional clustering and position cooperative frequency sensing algorithm, which can improve the spectrum sensing performance of the whole network. In order to solve the problem of large communication flow and wide occupation of control channel caused by dual-threshold energy detection, the improved cooperative spectrum sensing algorithm for dual-threshold energy detection in clusters is further optimized. In order to reduce the communication traffic and network consumption in spectrum sensing the number of cognitive users involved in cooperative sensing can be reduced properly on the premise of ensuring the performance of perception. The simulation results show that the detection probability of the optimized network is increased from 75% to 99% when the SNR is l0dB. At the end of this paper, the thesis summarizes the whole thesis and looks forward to the cooperative spectrum sensing technology of cognitive radio.
【學位授予單位】：內(nèi)蒙古大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN925

【參考文獻】

相關(guān)期刊論文 前1條

1 朱佳;鄭寶玉;鄒玉龍;;基于最佳中繼選擇的協(xié)作頻譜感知方案研究[J];電子學報;2010年01期

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本文編號：1774871