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異構(gòu)認(rèn)知網(wǎng)絡(luò)中頻譜感知技術(shù)的研究

發(fā)布時(shí)間:2018-10-17 22:00
【摘要】:隨著無(wú)線通信技術(shù)的飛速發(fā)展,無(wú)線通信系統(tǒng)正在經(jīng)歷不斷的變革與更新,從以往單一的無(wú)線接入技術(shù)向包含采取不同演進(jìn)路線的異構(gòu)網(wǎng)絡(luò)方向發(fā)展。然而和同構(gòu)網(wǎng)絡(luò)一樣,異構(gòu)網(wǎng)絡(luò)中也面臨著同樣急需解決的問(wèn)題,即頻譜資源匱乏的問(wèn)題。因此如何合理的管理無(wú)線頻譜資源、優(yōu)化頻譜資源配置、提高頻譜資源利用率對(duì)無(wú)線通信技術(shù)的發(fā)展具有重要意義。本文針對(duì)異構(gòu)網(wǎng)絡(luò)中現(xiàn)有頻譜資源利用率不高的問(wèn)題,利用頻譜接入技術(shù)來(lái)檢測(cè)出頻譜空穴,合理分配頻譜資源,以緩解異構(gòu)認(rèn)知網(wǎng)絡(luò)中頻譜資源短缺的問(wèn)題。本文首先對(duì)認(rèn)知無(wú)線電技術(shù)的現(xiàn)狀、趨勢(shì)及其關(guān)鍵技術(shù)做了介紹,以認(rèn)知無(wú)線電中的頻譜感知技術(shù)為研究對(duì)象,詳細(xì)的描述了常用的頻譜感知技術(shù),尤其以單節(jié)點(diǎn)頻譜感知技術(shù)為重點(diǎn),分析了能量檢測(cè)算法的檢測(cè)概率和虛警概率,最后總結(jié)了常用單節(jié)點(diǎn)頻譜感知技術(shù)的優(yōu)缺點(diǎn)和適用場(chǎng)景。針對(duì)異構(gòu)認(rèn)知網(wǎng)絡(luò)中頻譜資源匱乏、頻譜利用率不高的問(wèn)題,本文主要開(kāi)展了以下工作:一方面以傳統(tǒng)的雙門限能量檢測(cè)為對(duì)象展開(kāi)了研究,著重分析了噪聲不確定性對(duì)傳統(tǒng)雙門限能量檢測(cè)性能的影響,推導(dǎo)出了考慮噪聲不確定的系統(tǒng)檢測(cè)概率和虛警概率。分析結(jié)果表明,所提基于噪聲不確定的雙門限能量檢測(cè)合作頻譜感知算法在一定程度上減弱了噪聲不確定性對(duì)能量檢測(cè)性能的影響,在不額外增加系統(tǒng)傳輸開(kāi)銷的同時(shí),改善了系統(tǒng)的檢測(cè)性能。仿真結(jié)果表明所提基于噪聲不確定的雙門限能量檢測(cè)合作頻譜感知算法改善了系統(tǒng)的檢測(cè)性能,是一種有效可行的頻譜感知方案。另一方面針對(duì)傳統(tǒng)雙門限能量檢測(cè)中雙門限的設(shè)置問(wèn)題,以傳統(tǒng)雙門限能量檢測(cè)門限值的設(shè)置為對(duì)象展開(kāi)了研究,著重分析了門限動(dòng)態(tài)變化對(duì)能量檢測(cè)檢測(cè)性能的影響,推導(dǎo)出了考慮動(dòng)態(tài)門限因素的系統(tǒng)檢測(cè)概率和虛警概率。分析結(jié)果表明,所提基于動(dòng)態(tài)門限的雙門限能量檢測(cè)合作頻譜感知算法考慮了門限的動(dòng)態(tài)變動(dòng)和環(huán)境因素,對(duì)復(fù)雜多變的環(huán)境具有較強(qiáng)的適應(yīng)能力。仿真結(jié)果表明所提基于動(dòng)態(tài)門限的雙門限能量檢測(cè)合作頻譜感知算法有效改善了整個(gè)系統(tǒng)的檢測(cè)性能,抗噪聲能力強(qiáng)。
[Abstract]:With the rapid development of wireless communication technology, wireless communication systems are undergoing constant changes and updates, from a single wireless access technology to a heterogeneous network with different evolution routes. However, as in isomorphic networks, heterogeneous networks are faced with the same problems that need to be solved, namely, the scarcity of spectrum resources. Therefore, how to manage the wireless spectrum resources reasonably, optimize the spectrum resources allocation, and improve the utilization ratio of the spectrum resources are of great significance to the development of wireless communication technology. Aiming at the problem of low utilization of spectrum resources in heterogeneous networks, this paper uses spectrum access technology to detect spectrum holes and allocate spectrum resources reasonably, so as to alleviate the shortage of spectrum resources in heterogeneous cognitive networks. In this paper, the current situation, trend and key technologies of cognitive radio technology are introduced. The spectrum sensing technology in cognitive radio is studied, and the commonly used spectrum sensing technology is described in detail. Especially, the detection probability and false alarm probability of the energy detection algorithm are analyzed, and the advantages and disadvantages of the common single node spectrum sensing technology are summarized. In order to solve the problem of lack of spectrum resources and low spectral efficiency in heterogeneous cognitive networks, this paper mainly carries out the following work: on the one hand, the traditional dual-threshold energy detection is studied. The influence of noise uncertainty on the performance of traditional two-threshold energy detection is analyzed, and the detection probability and false alarm probability of the system considering noise uncertainty are derived. The analysis results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty weakens the effect of noise uncertainty on the performance of energy detection to a certain extent and does not increase the transmission overhead of the system. The detection performance of the system is improved. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty improves the detection performance of the system and is an effective and feasible spectrum sensing scheme. On the other hand, aiming at the problem of setting double threshold in traditional double threshold energy detection, this paper studies the setting of traditional double threshold energy detection threshold, and analyzes the influence of dynamic change of threshold on the performance of energy detection. The system detection probability and false alarm probability considering dynamic threshold factors are derived. The results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold takes into account the dynamic changes of threshold and environmental factors and has a strong adaptability to complex and changeable environment. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold can effectively improve the detection performance of the whole system and has strong anti-noise ability.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN925

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