【摘要】：隨著無線通信的飛速發(fā)展,頻譜資源日益稀缺。但頻譜資源在利用上的不均衡性又使得其浪費(fèi)嚴(yán)重。為了應(yīng)對這一問題,認(rèn)知無線電技術(shù)應(yīng)運(yùn)而生,它可有效提高頻譜資源的利用率。頻譜感知是認(rèn)知無線電實(shí)現(xiàn)的重要前提。近年來隨著寬帶無線通信的普及,寬帶頻譜感知也成為了認(rèn)知無線電領(lǐng)域的一大研究熱點(diǎn)。本文對協(xié)作寬帶頻譜感知算法進(jìn)行了深入研究。針對單用戶寬帶感知算法中尚存的問題,引入多用戶協(xié)作的理念和雙門限能量檢測算法,提出基于雙門限能量檢測的協(xié)作寬帶感知算法。該算法將寬帶授權(quán)頻譜劃分成若干個子頻段,利用雙門限能量檢測感知其中的部分子頻段,分別在次用戶和數(shù)據(jù)融合中心處進(jìn)行兩次數(shù)據(jù)融合,從而得到系統(tǒng)最終的全局判決。仿真結(jié)果表明,當(dāng)與傳統(tǒng)寬帶頻譜感知算法的性能相近時,基于雙門限能量檢測的協(xié)作寬帶感知算法所需檢測的子頻段數(shù)更少,其感知能耗和通信開銷也更小。本文還研究了無線電環(huán)境地圖技術(shù)在寬帶頻譜感知中的應(yīng)用,提出基于無線電環(huán)境地圖的協(xié)作寬帶感知算法。該算法將由雙門限能量檢測算法所得的軟、硬判決信息分開處理,硬判決信息利用表決融合規(guī)則進(jìn)行合并,而軟判決信息則根據(jù)無線電環(huán)境地圖中存儲的地理位置信息進(jìn)行加權(quán)合并,系統(tǒng)最終的全局判決由這兩部分的結(jié)果疊加而成。仿真結(jié)果表明,通過調(diào)節(jié)表決融合的門限值,可使該算法達(dá)到與基于雙門限能量檢測的協(xié)作寬帶感知算法相近檢測性能,同時該算法對系統(tǒng)中次用戶的負(fù)擔(dān)更小,也更適于實(shí)際的無線通信場景。
[Abstract]:With the rapid development of wireless communication, spectrum resources are increasingly scarce. However, the imbalance in the use of spectrum resources makes it a serious waste. In order to deal with this problem, cognitive radio emerged as the times require, and it can effectively improve the efficiency of spectrum resources. Spectrum sensing is an important premise of cognitive radio. In recent years, with the popularity of broadband wireless communication, broadband spectrum sensing has become a research hotspot in the field of cognitive radio. In this paper, the cooperative wideband spectrum sensing algorithm is deeply studied. Aiming at the remaining problems in single-user wideband sensing algorithm, a novel cooperative wideband sensing algorithm based on two-threshold energy detection is proposed by introducing the idea of multi-user cooperation and two-threshold energy detection algorithm. The algorithm divides the broadband authorized spectrum into several sub-bands, detects part of the sub-band by using the two-threshold energy detection, and performs two data fusion at the secondary user and the data fusion center, so as to obtain the final global decision of the system. The simulation results show that when the performance of the traditional wideband spectrum sensing algorithm is similar to that of the traditional wideband spectrum sensing algorithm, the cooperative wideband sensing algorithm based on two-threshold energy detection needs fewer sub-bands, and its sensing energy consumption and communication overhead are also smaller. This paper also studies the application of radio environment map technology in wideband spectrum sensing, and proposes a cooperative wideband sensing algorithm based on radio environment map. In this algorithm, the soft and hard decision information obtained by the dual-threshold energy detection algorithm is processed separately, and the hard decision information is merged by the voting fusion rule. The soft decision information is weighted and combined according to the geographical location information stored in the radio environment map, and the final global decision of the system is formed by the superposition of the results of these two parts. The simulation results show that by adjusting the threshold value of voting fusion, the proposed algorithm can achieve the same detection performance as the cooperative wideband sensing algorithm based on dual-threshold energy detection, and the algorithm has less burden on the secondary users in the system. It is also more suitable for actual wireless communication scenarios.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN925

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本文編號：2237153