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寬帶無(wú)線多媒體集群的信道信息獲取及反饋策略研究

發(fā)布時(shí)間:2018-10-10 16:43
【摘要】:寬帶集群通信系統(tǒng)(Boardband Trunking Communication,B-TrunC)在近年來(lái)得到了極大發(fā)展和廣泛應(yīng)用,基于時(shí)分雙工的長(zhǎng)期演進(jìn)計(jì)劃(Time Division Duplex Long Term Evolution,TD-LTE)的B-TrunC物理層是它的一個(gè)重要的發(fā)展方向。本文研究了基于TD-LTE的B-TrunC系統(tǒng)的信道信息獲取、系統(tǒng)反饋策略及其在寬帶無(wú)線多媒體實(shí)驗(yàn)樣機(jī)上的實(shí)現(xiàn)。論文研究了B-TrunC系統(tǒng)基于TD-LTE標(biāo)準(zhǔn)的物理層協(xié)議,梳理了下行數(shù)據(jù)共享信道和上行數(shù)據(jù)共享信道的總體流程;設(shè)計(jì)了B-TrunC系統(tǒng)的鏈路自適應(yīng)總體流程;搭建了基于TD-LTE的B-TrunC系統(tǒng)在Matlab仿真平臺(tái)下的基礎(chǔ)鏈路,分析了業(yè)務(wù)信道在加性高斯白噪聲下的性能。論文以萊斯信道為典型信道研究了B-TrunC系統(tǒng)的信道估計(jì)技術(shù)。論文首先以矩估計(jì)法、K-S估計(jì)法和最大似然估計(jì)法研究了萊斯因子的估計(jì)技術(shù),前兩種方法只利用了信號(hào)的包絡(luò),最大似然法由于同時(shí)利用了包絡(luò)和相位進(jìn)行估計(jì)能取得更優(yōu)的性能,但復(fù)雜度較高,而矩估計(jì)法能在性能和復(fù)雜度之間取得較好的折衷;論文研究了萊斯信道下的最小二乘估計(jì)算法和線性最小均方誤差估計(jì)算法,并提出一種加權(quán)并偏移修正的優(yōu)化算法,理論分析和仿真表明優(yōu)化算法能增強(qiáng)噪聲抑制,且在萊斯因子越大時(shí),噪聲抑制能力越強(qiáng),估計(jì)越精確。論文研究了B-TrunC系統(tǒng)的信干噪比估計(jì)技術(shù),分析了基于循環(huán)前綴相關(guān)性、基于空子載波和基于導(dǎo)頻干擾抵消的估計(jì)算法,利用上述算法估計(jì)噪聲方差后,論文考慮了存在天線間干擾時(shí)基于均衡后數(shù)據(jù)的信干噪比測(cè)量算法,接著分析了衡量總鏈路性能的信干噪比有效映射算法。論文通過(guò)理論分析和數(shù)字仿真對(duì)比了典型信干噪比估計(jì)算法,基于MATLAB搭建了算法仿真鏈路,完成適于樣機(jī)實(shí)現(xiàn)的信干噪比算法選型。論文研究了B-TrunC系統(tǒng)的鏈路自適應(yīng)技術(shù),主要集中在下行鏈路信道參數(shù)反饋算法的研究,分析了信干噪比到信道質(zhì)量指示的映射方法,分別研究了基于信道相關(guān)矩陣和容量的秩指示算法,基于信道矩陣分解和互信息的預(yù)編碼矩陣指示算法,對(duì)其進(jìn)行了理論分析和數(shù)字仿真,結(jié)果表明鏈路自適應(yīng)技術(shù)能保證可靠性的同時(shí)增加系統(tǒng)吞吐量最后研究了鏈路自適應(yīng)技術(shù)在實(shí)驗(yàn)樣機(jī)上的實(shí)現(xiàn)。論文最后總結(jié)了全文的研究結(jié)果,并指出了下一步的研究方向。
[Abstract]:Wideband trunked communication system (Boardband Trunking Communication,B-TrunC) has been developed and widely used in recent years. The B-TrunC physical layer based on time-division duplex long-term evolution plan (Time Division Duplex Long Term Evolution,TD-LTE) is one of its important development directions. In this paper, the channel information acquisition, system feedback strategy and its implementation in wideband wireless multimedia experiment prototype of B-TrunC system based on TD-LTE are studied. This paper studies the physical layer protocol of B-TrunC system based on TD-LTE standard, combs the overall flow of downlink data sharing channel and uplink data sharing channel, and designs the link adaptive overall flow of B-TrunC system. The basic link of B-TrunC system based on TD-LTE under Matlab simulation platform is built, and the performance of traffic channel under additive Gao Si white noise is analyzed. In this paper, we study the channel estimation technology of B-TrunC system using Rice channel as a typical channel. In this paper, the moment estimation method, K-S estimation method and maximum likelihood estimation method are used to study the estimation technique of Rice factor. The first two methods only use the envelope of the signal. The maximum likelihood method can obtain better performance because of the use of both envelope and phase estimation, but the complexity is higher, while the moment estimation method can achieve a better tradeoff between performance and complexity. In this paper, the least square estimation algorithm and the linear least mean square error estimation algorithm in Rice channel are studied, and a weighted and offset correction optimization algorithm is proposed. Theoretical analysis and simulation show that the optimization algorithm can enhance noise suppression. The higher the Rice factor is, the stronger the noise suppression ability is and the more accurate the estimation is. In this paper, the signal-to-noise ratio estimation technology of B-TrunC system is studied, and the estimation algorithm based on cyclic prefix correlation, empty subcarrier and pilot interference cancellation is analyzed. In this paper, the signal-to-noise ratio measurement algorithm based on equalized data is considered in the presence of inter-antenna interference, and then the effective SINR mapping algorithm to measure the performance of the total link is analyzed. Through theoretical analysis and digital simulation, the typical signal-to-noise ratio estimation algorithm is compared, and the algorithm simulation link based on MATLAB is built to complete the selection of signal-to-noise ratio algorithm suitable for the prototype. In this paper, the link adaptive technology of B-TrunC system is studied, which mainly focuses on the downlink channel parameter feedback algorithm, and analyzes the mapping method from signal-to-noise ratio to channel quality indication. The rank indication algorithm based on channel correlation matrix and capacity, the precoding matrix indication algorithm based on channel matrix decomposition and mutual information are studied, and the theoretical analysis and digital simulation are carried out. The results show that the link adaptive technology can guarantee the reliability while increasing the throughput of the system. Finally, the realization of the link adaptive technology on the experimental prototype is studied. Finally, the paper summarizes the research results and points out the next research direction.
【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】:2017
【分類號(hào)】:TN929.52

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