認(rèn)知無線電頻譜檢測技術(shù)研究
發(fā)布時間：2018-08-27 20:39
【摘要】： 1999年,Mitola博士針對頻譜利用率低的問題提出了一種可行的技術(shù)解決方案——認(rèn)知無線電技術(shù)(Cognitive Radio, CR)。認(rèn)知無線電技術(shù)是近年發(fā)展很快的一種無線通信新技術(shù),其核心思想是認(rèn)知用戶(Secondary User)在寬頻帶上可靠地感知頻譜環(huán)境,檢測合法授權(quán)用戶(Primary User)的出現(xiàn),能自適應(yīng)地占用即時可用的本地頻譜,避免授權(quán)用戶與認(rèn)知用戶在整個通信過程中的相互干擾。認(rèn)知無線電系統(tǒng)因其在頻譜使用上的智能性和靈活性,被視為滿足未來頻譜資源緊張情況下寬帶無線通信需求的關(guān)鍵技術(shù)之一,將成為未來無線泛在網(wǎng)絡(luò)的重要組成部分。目前,認(rèn)知無線電系統(tǒng)在下一代無線寬帶通信領(lǐng)域的應(yīng)用前景已得到了業(yè)界的普遍認(rèn)可。因此,建立和完善認(rèn)知無線電系統(tǒng)的基本理論,解決其關(guān)鍵技術(shù),具有非常重要的科學(xué)和現(xiàn)實意義。本論文主要對認(rèn)知無線電系統(tǒng)中的頻譜檢測技術(shù)進行了研究,可以歸納為以下三個方面的內(nèi)容：(1)低功耗頻譜檢測算法的優(yōu)化設(shè)計；(2)基于空間譜估計的認(rèn)知無線電干擾檢測與分析；(3)空間頻譜變化情況下的實時干擾檢測與分析。 本論文共分為6章,其主要內(nèi)容如下： 第1章為緒論,介紹了課題研究的背景,對認(rèn)知無線電系統(tǒng)的概念、特點、應(yīng)用前景以及關(guān)鍵技術(shù)等進行了簡介,并對本文的研究重點和創(chuàng)新點進行了說明。 第2章對認(rèn)知無線電系統(tǒng)的頻譜檢測技術(shù)進行了概述。介紹了認(rèn)知無線電系統(tǒng)中主要的頻譜檢測技術(shù),對它們的基本原理、實現(xiàn)方法和優(yōu)缺點等進行了詳細分析和討論。 第3章介紹了一種基于能量檢測的雙閾值授權(quán)用戶檢測算法。介紹了基于能量檢測的時域和頻域授權(quán)用戶檢測算法,分別對時域和頻域檢測算法進行了詳細的理論推導(dǎo),并指出了兩種算法在授權(quán)用戶檢測中的優(yōu)點和存在的不足之處。從降低系統(tǒng)功耗角度出發(fā),基于時域和頻域能量檢測,提出了雙閾值能量檢測算法及其改進算法,對所提算法進行了詳細的理論推導(dǎo)。通過大量仿真,將所提算法與傳統(tǒng)算法的性能進行了比較,仿真結(jié)果驗證了算法的有效性。 第4章闡述了一種基于來波探測的寬帶信號干擾溫度估計算法。對模型產(chǎn)生的背景和意義進行了深入分析,對模型的具體算法進行了詳細的理論推導(dǎo)。對基于來波探測的寬帶信號干擾溫度估計算法中涉及的空間譜估計理論進行了詳細的論述。通過仿真驗證了所提算法在有向通信背景下可以降低干擾溫度估值,提高頻譜使用效率。 第5章針對電磁頻譜環(huán)境緩慢變化的應(yīng)用場景,提出了一種基于神經(jīng)網(wǎng)絡(luò)的多窗口頻譜估計結(jié)合奇異值分解的干擾溫度計算方法。對傳統(tǒng)多窗口頻譜估計結(jié)合奇異值分解的干擾溫度計算方法進行介紹,并指出了傳統(tǒng)數(shù)值算法在電磁頻譜環(huán)境變化時的不足。從自適應(yīng)頻譜環(huán)境變化和提高干擾溫度估計準(zhǔn)確性角度出發(fā),建立了基于神經(jīng)網(wǎng)絡(luò)的干擾溫度模型,并對新算法的神經(jīng)網(wǎng)絡(luò)模型進行了詳細的理論分析。通過仿真對所提算法與傳統(tǒng)算法在算法復(fù)雜度、干擾溫度估值準(zhǔn)確性和適應(yīng)頻譜環(huán)境變化情況下的性能進行了比較,仿真結(jié)果驗證了所提算法能夠?qū)崟r反應(yīng)電磁頻譜環(huán)境的變化,所得干擾溫度值更加準(zhǔn)確有效。 第6章對全文進行了總結(jié),并指出了后續(xù)進一步的研究工作。
[Abstract]:In 1999, Dr. Mitola proposed a feasible technical solution to the problem of low spectrum utilization, Cognitive Radio (CR). Cognitive Radio (CR), a new wireless communication technology, is developing rapidly in recent years. The core idea of CR is that cognitive users can reliably perceive spectrum over a wide band. Environment, detection of the presence of legitimate authorized users (Primary Users) can self-adaptively occupy the instant available local spectrum and avoid mutual interference between authorized users and cognitive users throughout the communication process. One of the key technologies for bandwidth wireless communication will be an important part of future wireless ubiquitous networks. At present, the application prospects of cognitive radio systems in the next generation of wireless broadband communications have been widely recognized by the industry. Therefore, it is necessary to establish and improve the basic theory of cognitive radio systems and solve the key technologies. This paper mainly studies the spectrum detection technology in cognitive radio system, which can be summarized as the following three aspects: (1) the optimization design of low-power spectrum detection algorithm; (2) the detection and analysis of cognitive radio interference based on spatial spectrum estimation; (3) the variation of spatial spectrum. Real time interference detection and analysis.
This thesis is divided into 6 chapters. The main contents are as follows:
Chapter 1 is the introduction, which introduces the background of the research, introduces the concept, characteristics, application prospects and key technologies of cognitive radio system, and explains the key points and innovations of this paper.
Chapter 2 gives an overview of spectrum detection techniques in cognitive radio systems. The main spectrum detection techniques in cognitive radio systems are introduced. Their basic principles, implementation methods, advantages and disadvantages are analyzed and discussed in detail.
In Chapter 3, a dual-threshold authorized user detection algorithm based on energy detection is introduced. The time-domain and frequency-domain authorized user detection algorithms based on energy detection are introduced. The time-domain and frequency-domain detection algorithms are deduced in detail. The advantages and disadvantages of the two algorithms in authorized user detection are pointed out. In order to reduce the power consumption of the system, a dual-threshold energy detection algorithm and its improved algorithm are proposed based on energy detection in time domain and frequency domain, and the proposed algorithm is theoretically deduced in detail.
In Chapter 4, a broadband signal jamming temperature estimation algorithm based on incoming wave detection is described. The background and significance of the model are analyzed in detail, and the specific algorithm of the model is deduced in detail. Simulation results show that the proposed algorithm can reduce the interference temperature estimation and improve the spectrum efficiency in the context of directional communication.
In Chapter 5, aiming at the application scenario of slowly changing electromagnetic spectrum environment, a method for calculating the interference temperature based on neural network with multi-window spectrum estimation and singular value decomposition is proposed. From the point of view of adapting to the change of spectrum environment and improving the accuracy of jamming temperature estimation, the jamming temperature model based on neural network is established, and the neural network model of the new algorithm is analyzed in detail. The simulation results show that the proposed algorithm can reflect the changes of electromagnetic spectrum environment in real time and the interference temperature is more accurate and effective.
The sixth chapter summarizes the full text and points out the further research work.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2010
【分類號】：TN92
本文編號：2208390
[Abstract]:In 1999, Dr. Mitola proposed a feasible technical solution to the problem of low spectrum utilization, Cognitive Radio (CR). Cognitive Radio (CR), a new wireless communication technology, is developing rapidly in recent years. The core idea of CR is that cognitive users can reliably perceive spectrum over a wide band. Environment, detection of the presence of legitimate authorized users (Primary Users) can self-adaptively occupy the instant available local spectrum and avoid mutual interference between authorized users and cognitive users throughout the communication process. One of the key technologies for bandwidth wireless communication will be an important part of future wireless ubiquitous networks. At present, the application prospects of cognitive radio systems in the next generation of wireless broadband communications have been widely recognized by the industry. Therefore, it is necessary to establish and improve the basic theory of cognitive radio systems and solve the key technologies. This paper mainly studies the spectrum detection technology in cognitive radio system, which can be summarized as the following three aspects: (1) the optimization design of low-power spectrum detection algorithm; (2) the detection and analysis of cognitive radio interference based on spatial spectrum estimation; (3) the variation of spatial spectrum. Real time interference detection and analysis.
This thesis is divided into 6 chapters. The main contents are as follows:
Chapter 1 is the introduction, which introduces the background of the research, introduces the concept, characteristics, application prospects and key technologies of cognitive radio system, and explains the key points and innovations of this paper.
Chapter 2 gives an overview of spectrum detection techniques in cognitive radio systems. The main spectrum detection techniques in cognitive radio systems are introduced. Their basic principles, implementation methods, advantages and disadvantages are analyzed and discussed in detail.
In Chapter 3, a dual-threshold authorized user detection algorithm based on energy detection is introduced. The time-domain and frequency-domain authorized user detection algorithms based on energy detection are introduced. The time-domain and frequency-domain detection algorithms are deduced in detail. The advantages and disadvantages of the two algorithms in authorized user detection are pointed out. In order to reduce the power consumption of the system, a dual-threshold energy detection algorithm and its improved algorithm are proposed based on energy detection in time domain and frequency domain, and the proposed algorithm is theoretically deduced in detail.
In Chapter 4, a broadband signal jamming temperature estimation algorithm based on incoming wave detection is described. The background and significance of the model are analyzed in detail, and the specific algorithm of the model is deduced in detail. Simulation results show that the proposed algorithm can reduce the interference temperature estimation and improve the spectrum efficiency in the context of directional communication.
In Chapter 5, aiming at the application scenario of slowly changing electromagnetic spectrum environment, a method for calculating the interference temperature based on neural network with multi-window spectrum estimation and singular value decomposition is proposed. From the point of view of adapting to the change of spectrum environment and improving the accuracy of jamming temperature estimation, the jamming temperature model based on neural network is established, and the neural network model of the new algorithm is analyzed in detail. The simulation results show that the proposed algorithm can reflect the changes of electromagnetic spectrum environment in real time and the interference temperature is more accurate and effective.
The sixth chapter summarizes the full text and points out the further research work.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2010
【分類號】：TN92
【引證文獻】
相關(guān)期刊論文 前1條
1 江虹;伍春;劉勇;;基于強化學(xué)習(xí)的頻譜決策與傳輸算法[J];系統(tǒng)仿真學(xué)報;2013年03期
相關(guān)碩士學(xué)位論文 前7條
1 毛志寧;認(rèn)知無線電單節(jié)點頻譜檢測算法研究[D];北方工業(yè)大學(xué);2011年
2 符桂英;水聲通信中信令檢測算法的研究[D];華南理工大學(xué);2011年
3 孟奇;無線電監(jiān)測與測向管理系統(tǒng)服務(wù)端的設(shè)計與實現(xiàn)[D];哈爾濱工業(yè)大學(xué);2011年
4 郗昌慶;認(rèn)知網(wǎng)絡(luò)中干擾溫度機制研究[D];重慶大學(xué);2012年
5 夏東瀛;認(rèn)知無線電系統(tǒng)中頻譜分配算法的研究[D];東華大學(xué);2013年
6 張婷婷;認(rèn)知無線電多信道頻譜感知與載波聚合研究[D];北京郵電大學(xué);2013年
7 顧春梅;高鐵頻譜地圖中電磁環(huán)境模塊與干擾檢測模塊設(shè)計研究[D];西南交通大學(xué);2013年
，本文編號：2208390
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