本文選題：功耗效率 + 低精度量化�。� 參考：《中國科學(xué)技術(shù)大學(xué)》2014年博士論文

【摘要】：在無線通信領(lǐng)域,人們一直致力于系統(tǒng)功耗效率的提高。無線系統(tǒng)的功耗主要包括信號的輻射功耗和處理功耗。隨著空間復(fù)用率的提高,無線通信呈現(xiàn)出短距化的趨勢,使得輻射功耗在整個系統(tǒng)功耗中所占的比重逐漸降低,處理功耗(尤其是接收端處理功耗)的優(yōu)化成為提高系統(tǒng)功耗效率的有效手段。接收端處理功耗主要包括模數(shù)轉(zhuǎn)換器(Analog-to-digital Conversion, ADC)功耗和基帶處理功耗兩部分,其中ADC的功耗與量化精度成指數(shù)關(guān)系,與采樣頻率成線性關(guān)系,而基帶處理功耗與量化精度近似成平方線性關(guān)系。隨著未來通信系統(tǒng)向著大帶寬高速率方向發(fā)展,傳統(tǒng)高速高精度ADC將因其巨大的功耗與隨之產(chǎn)生的海量數(shù)據(jù)處理而成為實(shí)現(xiàn)低復(fù)雜度低功耗系統(tǒng)的重要制約因素。為此,低精度量化ADC被引入到數(shù)字接收機(jī)中,并被認(rèn)為是一種能夠有效解決大帶寬高速率接收機(jī)復(fù)雜度和功耗的手段,受到學(xué)術(shù)界和工業(yè)界的廣泛關(guān)注,具有重要的研究意義和實(shí)用價值。 本文面向未來通信系統(tǒng)寬帶化和功耗效率優(yōu)化的迫切需求,研究了低精度量化下的接收技術(shù),旨在為大寬帶通信提供一系列低成本、低功耗的解決方案。本文從接收機(jī)設(shè)計(jì)與性能分析、系統(tǒng)非理想因素的影響、鏈路碼間串?dāng)_的影響三個方面展開研究工作,主要的研究成果和貢獻(xiàn)如下： 針對接收機(jī)設(shè)計(jì)與性能分析,本文研究了采用正交調(diào)制的低精度量化通信系統(tǒng)中接收機(jī)的設(shè)計(jì)及其性能分析。本文首先給出了QPSK調(diào)制下的最優(yōu)單比特接收機(jī),并以失真度為指標(biāo)簡化了性能分析。本文進(jìn)一步給出了次優(yōu)的線性單比特接收機(jī)以降低實(shí)現(xiàn)復(fù)雜度和增加魯棒性。仿真結(jié)果表明,相對于擁有完美信道狀態(tài)信息(Channel State Information, CSI)的單比特匹配濾波器接收機(jī),該接收機(jī)在加性高斯白噪聲信道(Additive White Gaussian Noise, AWGN)中有約3dB的信噪比(Signal-to-Noise-Ratio, SNR)損失,而在密集多徑信道中僅有約1dB的SNR損失。本文給出了Z-階量化下的最優(yōu)接收機(jī),求得了比特對數(shù)似然比。通過比特對數(shù)似然比的高斯近似,給出了Z-階量化最優(yōu)接收機(jī)的誤比特率(Bit Error Rate, BER)性能分析。定量給出了低精度量化接收機(jī)性能與量化精度的關(guān)系。理論與仿真結(jié)果表明,當(dāng)量化階數(shù)大于8時,繼續(xù)增加量化階數(shù)所獲得的性能增益小于0.1dB。利用該方法對相位差的影響、量化門限的影響以及性能增益與量化精度的關(guān)系等的分析與仿真結(jié)果高度吻合,證明了該分析方法的有效性,能夠給低精度量化接收機(jī)的實(shí)際應(yīng)用提供設(shè)計(jì)指導(dǎo)。此外,本文還給出了基于最小均方誤差(Minimum Mean Square Error, MMSE)的可實(shí)用線性分段接收機(jī),以降低接收機(jī)實(shí)現(xiàn)復(fù)雜度和增加魯棒性,并給出了相應(yīng)的信道估計(jì)方法。 針對非理想因素的影響,本文重點(diǎn)研究了IQ不平衡對QPSK單比特接收機(jī)的影響及相應(yīng)的對抗策略。證明了幅度不平衡對于單比特接收機(jī)沒有影響,而相位不平衡和收發(fā)相位差共同作用會嚴(yán)重惡化單比特接收機(jī)性能。提出了一種基于雙訓(xùn)練序列的單比特接收機(jī)和一種加權(quán)雙訓(xùn)練訓(xùn)練單比特接收機(jī),能夠在AWGN信道和稀疏多徑信道中有效對抗IQ不平衡導(dǎo)致的性能損失,特別是在高SNR區(qū)域。對信道編碼環(huán)境提出了發(fā)送端星座旋轉(zhuǎn)的策略,通過該旋轉(zhuǎn)策略提供的“相位分集”能夠在AWGN信道和稀疏多徑信道中為碼率1/2～7/8的卷積碼提供約O～3dB的SNR增益。提出了一種8-扇區(qū)相位量化接收機(jī),考察了其對于旋轉(zhuǎn)相位的魯棒性,設(shè)計(jì)了相位量化下具體接收機(jī)實(shí)現(xiàn),從而幾乎完全消除了IQ不平衡導(dǎo)致的性能損失。由于可以通過多徑提供相位分集,IQ不平衡對于密集多徑信道影響較小。 針對鏈路碼間串?dāng)_的影響,研究了將低精度量化接收機(jī)應(yīng)用于高速寬帶系統(tǒng)的過程中遇到的鏈路碼間串?dāng)_問題。利用高速寬帶系統(tǒng)的信道特性,對碼間串?dāng)_進(jìn)行高斯近似。基于碼間串?dāng)_的高斯近似,給出了低強(qiáng)度碼間串?dāng)_下的單比特接收機(jī)設(shè)計(jì),并對該接收機(jī)從輸出信噪比損失和BER兩個角度進(jìn)行性能分析。理論和仿真結(jié)果表明在250Mbps及以下速率時,該接收機(jī)相比于沒有碼間串?dāng)_的情形其性能損失小于1dB,表明無需復(fù)雜均衡技術(shù)。針對高強(qiáng)度碼間串?dāng)_,提出了一種基于判決反饋和迭代解調(diào)的單比特時域均衡算法,能夠有效對抗碼間串?dāng)_的不良影響。對于500Mbps的情形,該均衡算法相對于沒有碼間串?dāng)_的情形僅有約1.2dB的SNR損失。
[Abstract]:In the field of wireless communication, people have been devoted to improving the power efficiency of the system. The power consumption of the wireless system mainly includes the radiation power of the signal and the power processing power. With the increase of the spatial reuse rate, the wireless communication presents a tendency of short distance, which makes the proportion of radiation power consumed in the power consumption of the whole system gradually reduced, especially the power consumption (especially the power consumption). It is an effective means to improve the power efficiency of the receiver. The power consumption of the receiver is mainly composed of two parts: the Analog-to-digital Conversion, ADC and the baseband processing power, in which the power consumption of the ADC is exponentially related to the quantization precision, and is linear with the sampling frequency, and the baseband processing is used. The power consumption and the quantization precision are approximately square linear. With the development of the future communication system to the high bandwidth and high rate direction, the traditional high speed and high precision ADC will become an important constraint factor for the low power and low power system because of its huge power consumption and the consequent mass data processing. Therefore, the low precision quantization ADC is introduced to the number. In word receiver, it is considered as a means to effectively solve the complexity and power of large bandwidth and high rate receiver. It has received extensive attention from the academia and industry, and has important research significance and practical value.
In this paper, facing the urgent need of broadband and power efficiency optimization in future communication systems, the reception technology under low precision quantization is studied. The purpose is to provide a series of low-cost and low power solutions for large band communication. This paper is based on the design and performance analysis of the receiver, the influence of the system non rational factors, and the influence of the link code crosstalk three. The main research achievements and contributions are as follows:
In view of the design and performance analysis of the receiver, the design and performance analysis of the receiver in the low precision quantization communication system with orthogonal modulation are studied. First, the optimal single bit receiver under QPSK modulation is given, and the performance analysis is simplified with the distortion degree as the index. This paper further gives the suboptimal linear single ratio special connection. The simulation results show that the receiver has a signal-to-noise ratio of about 3dB (Signal-to-Noise-Rat) in the additive Gauss white noise channel (Additive White Gaussian Noise, AWGN). The simulation results show that the receiver has a signal to noise ratio (Signal-to-Noise-Rat) in the additive Gauss white noise channel (Additive White Gaussian Noise, AWGN) with a perfect channel state information (CSI). IO, SNR) loss, and only about 1dB SNR loss in dense multipath channels. This paper gives the optimal receiver under Z- quantization and obtains the bit log likelihood ratio. By Gauss approximation of the logarithmic likelihood ratio of bit, the performance analysis of the bit error rate (Bit Error Rate, BER) of the Z- order optimal receiver is given. The low precision is given. The relationship between the performance of the receiver and the quantization accuracy is quantified. The theoretical and simulation results show that when the quantized order is greater than 8, the performance gain obtained by increasing the quantization step is less than 0.1dB., and the effect of the method on the phase difference, the influence of the quantized threshold and the relationship between the performance gain and the quantization precision are highly consistent with the simulation results. The validity of the method is proved to provide design guidance for the practical application of a low precision quantization receiver. In addition, a practical linear piecewise receiver based on the minimum mean square error (Minimum Mean Square Error, MMSE) is given in order to reduce the complexity and increase the robustness of the receiver, and the corresponding letter is given. Channel estimation method.
In view of the influence of non ideal factors, this paper focuses on the effect of IQ imbalances on the QPSK monbant receiver and the corresponding countermeasures. It is proved that the amplitude imbalances have no effect on the single bimte receiver, while the phase unbalance and the common action of the transceiver phase difference will seriously deteriorate the performance of the single bit receiver. A single bimte receiver and a weighted double training training single bit receiver, which can effectively combat the performance loss caused by IQ imbalances in the AWGN channel and the sparse multipath channel, especially in the high SNR region. The strategy of the transmission end constellation rotation for the channel coding environment is proposed, and the phase diversity provided by the rotation strategy is provided. "It can provide a SNR gain of about O to 3dB for the convolutional codes with a rate of 1/2 to 7/8 in the AWGN channel and the sparse multipath channel. A 8- sector phase quantization receiver is proposed, and its robustness to the rotation phase is investigated. The implementation of a specific receiver in phase quantization is designed, so that the performance loss caused by IQ imbalances is completely eliminated. Because multipath can provide phase diversity, IQ imbalance has little impact on dense multipath channels.
In view of the influence of link Intercode crosstalk, the problem of link Intercode crosstalk in the process of applying low precision quantization receiver to high speed broadband system is studied. Using the channel characteristics of high speed broadband system, the Gauss approximation is carried out for Intercode crosstalk. The single specific connection under the Intercode Crosstalk Based on the Intercode crosstalk is given. The receiver is designed to perform the performance analysis of the receiver from the output signal to noise ratio loss and the BER two angles. The theoretical and simulation results show that the receiver has a performance loss less than 1dB when compared with no inter code crosstalk in the case of 250Mbps and below, indicating that no complex equalization technique is needed. A base for high intensity inter code crosstalk is proposed. The single bit time domain equalization algorithm for decision feedback and iterative demodulation can effectively combat the adverse effects of Intercode crosstalk. For the case of 500Mbps, the equalization algorithm has only about 1.2dB SNR loss relative to the case without Intercode crosstalk.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN851

【共引文獻(xiàn)】

相關(guān)期刊論文 前10條

1 關(guān)愛萍;師軍;;西部地區(qū)全要素能源效率變動的實(shí)證研究[J];甘肅理論學(xué)刊;2013年05期

2 范丹;王維國;;中國省際工業(yè)全要素能源效率——基于四階段DEA和Bootstrapped DEA[J];系統(tǒng)工程;2013年08期

3 于鳳玲;周揚(yáng);陳建宏;周智勇;;中國能源經(jīng)濟(jì)全要素效率——基于廣義C-D函數(shù)和DEA的實(shí)證研究[J];工業(yè)技術(shù)經(jīng)濟(jì);2013年12期

4 關(guān)愛萍;師軍;張強(qiáng);;中國西部地區(qū)省際全要素能源效率研究——基于超效率DEA模型和Malmquist指數(shù)[J];工業(yè)技術(shù)經(jīng)濟(jì);2014年02期

5 李子倫;;產(chǎn)業(yè)結(jié)構(gòu)升級含義及指數(shù)構(gòu)建研究——基于因子分析法的國際比較[J];當(dāng)代經(jīng)濟(jì)科學(xué);2014年01期

6 呂榮勝;陳曉杰;;我國物流行業(yè)全要素能源效率實(shí)證分析[J];商業(yè)研究;2014年02期

7 王強(qiáng);樊杰;伍世代;;1990-2009年中國區(qū)域能源效率時空分異特征與成因[J];地理研究;2014年01期

8 卡洛斯·卡爾德隆;瑪卡雷娜·羅德里格斯;路寧;李鎧;;城市能源系統(tǒng)改造模擬方法:泰恩河畔紐卡斯?fàn)柕漠?dāng)前實(shí)踐和未來挑戰(zhàn)[J];國際城市規(guī)劃;2014年02期

9 茜敏·達(dá)沃迪;盧克·迪利;珍妮·克勞福德;戴昀;屠李;;能源消費(fèi)行為:理性還是慣性?[J];國際城市規(guī)劃;2014年02期

10 許海平;傅國華;;海南省工業(yè)行業(yè)能源效率的實(shí)證分析[J];海南師范大學(xué)學(xué)報(bào)(社會科學(xué)版);2013年07期

相關(guān)會議論文 前1條

1 龐淑娟;邵燕敏;汪壽陽;;基于Bootstrap-DEA方法的中國區(qū)域能源效率及其影響因素分析[A];社會經(jīng)濟(jì)發(fā)展轉(zhuǎn)型與系統(tǒng)工程——中國系統(tǒng)工程學(xué)會第17屆學(xué)術(shù)年會論文集[C];2012年

相關(guān)博士學(xué)位論文 前10條

1 朱文超;中國發(fā)展低碳經(jīng)濟(jì)的能源效率及經(jīng)濟(jì)結(jié)構(gòu)調(diào)整問題研究[D];中國科學(xué)技術(shù)大學(xué);2013年

2 呂斌;基于特征分析和配額分配的地區(qū)能源效率研究[D];中國礦業(yè)大學(xué)（北京）;2013年

3 周五七;碳排放約束的中國工業(yè)生產(chǎn)率增長及其影響因素[D];華中科技大學(xué);2013年

4 李鍇;FDI對中國工業(yè)能源效率的影響研究[D];武漢大學(xué);2012年

5 聶洪光;中國能源消費(fèi)增長的問題及對策研究[D];吉林大學(xué);2013年

6 李根;我國交通運(yùn)輸設(shè)備制造業(yè)能耗強(qiáng)度變動研究[D];哈爾濱工程大學(xué);2013年

7 程云鶴;中國特色碳減排制度創(chuàng)新研究[D];東北師范大學(xué);2013年

8 郭本海;我國區(qū)域經(jīng)濟(jì)發(fā)展的高能效實(shí)現(xiàn)機(jī)制研究[D];南京航空航天大學(xué);2012年

9 李霞;我國能源綜合利用效率評價指標(biāo)體系及應(yīng)用研究[D];中國地質(zhì)大學(xué);2013年

10 馬新;環(huán)境、就業(yè)、經(jīng)濟(jì)增長協(xié)調(diào)視角下的產(chǎn)業(yè)結(jié)構(gòu)研究[D];遼寧工程技術(shù)大學(xué);2012年

相關(guān)碩士學(xué)位論文 前10條

1 王艷麗;寒冷地區(qū)既有辦公建筑綠色化改造潛力評價研究[D];北京建筑大學(xué);2013年

2 王春萌;中國能源效率的影響因素及能源回報(bào)效應(yīng)研究[D];山東大學(xué);2013年

3 聶銦;基于回彈效應(yīng)理論的工業(yè)企業(yè)可持續(xù)發(fā)展研究[D];天津理工大學(xué);2013年

4 俞鑫;安徽省能源消費(fèi)與經(jīng)濟(jì)增長關(guān)系研究[D];安徽大學(xué);2013年

5 蘇靜;基于能源信息學(xué)的地鐵能源管理信息系統(tǒng)的研究[D];河北工業(yè)大學(xué);2012年

6 于光華;基于DEA方法的城市軌道交通能源效率測度研究[D];河北工業(yè)大學(xué);2012年

7 林浩賢;基于空間視角的中國能源效率演變研究[D];華南理工大學(xué);2013年

8 盧滿宇;基于WLP的無線通信系統(tǒng)研究[D];華南理工大學(xué);2013年

9 容莉莉;基于省際面板數(shù)據(jù)的中國鋼鐵行業(yè)全要素能源效率研究[D];華南理工大學(xué);2013年

10 吳利梅;鋼鐵企業(yè)能源效率及其評價研究[D];河北工業(yè)大學(xué);2012年

，

本文編號：2010342