MIMO系統(tǒng)下空時(shí)編碼及檢測(cè)算法的研究
發(fā)布時(shí)間：2019-03-18 20:15
【摘要】：在社會(huì)對(duì)通信需求與日劇增的同時(shí),無(wú)線通信技術(shù)的應(yīng)用逐漸深入到社會(huì)生活的方方面面。為了能夠在復(fù)雜的通信環(huán)境中實(shí)現(xiàn)大容量和高速率的數(shù)據(jù)傳輸,使用MIMO技術(shù)可以提升系統(tǒng)信道容量。MIMO技術(shù)作為當(dāng)下成熟應(yīng)用于第四代移動(dòng)通信的核心技術(shù)之一,本文對(duì)MIMO技術(shù)下的空時(shí)編碼和檢測(cè)算法兩大關(guān)鍵部分進(jìn)行了主要研究�？諘r(shí)編碼技術(shù)是在MIMO技術(shù)基礎(chǔ)上,結(jié)合時(shí)間與空間的相關(guān)性對(duì)傳送信息比特進(jìn)行空時(shí)編碼,比SISO系統(tǒng)容量提升幾十倍。由于傳送會(huì)受到無(wú)線通信信道時(shí)變特性和多徑衰落影響,因此在接收端提出有效可靠的檢測(cè)算法來(lái)恢復(fù)出原始信號(hào)。本文首先從整體上對(duì)MIMO系統(tǒng)模型進(jìn)行簡(jiǎn)述,介紹基本的分集復(fù)用、無(wú)線信道以及均衡估計(jì),并從SISO系統(tǒng)信道容量推導(dǎo)出MIMO系統(tǒng)容量公式,利用MATLAB仿真證明MIMO技術(shù)對(duì)容量有巨大的提升。接著對(duì)兩類(lèi)空時(shí)編碼展開(kāi)了研究,接受端必須已知CSI的分層空時(shí)編碼、空時(shí)網(wǎng)格編碼和空時(shí)分組編碼,無(wú)需CSI的差分空時(shí)編碼,綜合考慮每種編碼方式的性能和復(fù)雜度,確定適合應(yīng)用于何種場(chǎng)景下。最后如何準(zhǔn)確恢復(fù)衰落后的原始信號(hào),對(duì)檢測(cè)算法研究并提出改進(jìn)方案,最佳ML算法對(duì)于大型MIMO系統(tǒng)來(lái)說(shuō)檢測(cè)復(fù)雜度過(guò)高,線性ZF、MMSE算法檢測(cè)性能卻達(dá)不到要求,都存在很明顯的弊端;在此前提下提出眾多非線性算法,如干擾消除算法和QR分解算法結(jié)構(gòu)簡(jiǎn)單性能也能夠滿(mǎn)足要求,并對(duì)串行干擾消除算法做出相應(yīng)改進(jìn);為了追求最佳的檢測(cè)效果跟較低復(fù)雜度,研究了球形檢測(cè)算法,性能與ML算法相當(dāng),搜索空間卻小很多,使用MATLAB軟件仿真驗(yàn)證效果。
[Abstract]:At the same time, the application of wireless communication technology gradually goes deep into all aspects of social life. In order to realize large-capacity and high-speed data transmission in complex communication environment, the channel capacity of the system can be improved by using MIMO technology. As one of the core technologies used in the fourth generation of mobile communication, MIMO technology is one of the core technologies. In this paper, two key parts of space-time coding and detection algorithm in MIMO technology are studied. Space-time coding (STC) is a space-time coding technique for transmitting information bits, which is based on MIMO technology and combined with the correlation between time and space, which is several times higher than the capacity of SISO system. Because the transmission will be affected by the time-varying characteristics and multipath fading of the wireless communication channel, an effective and reliable detection algorithm is proposed at the receiver to recover the original signal. In this paper, the MIMO system model is introduced, and the basic diversity multiplexing, wireless channel and equalization estimation are introduced, and the MIMO system capacity formula is derived from the channel capacity of SISO system. The simulation results of MATLAB show that MIMO technology can greatly improve the capacity. Secondly, two classes of space-time coding are studied. The receiver must know the layered space-time coding of CSI, space-time trellis coding and space-time block coding, and do not need the differential space-time coding of CSI, considering the performance and complexity of each coding method. Determine which scenarios are suitable for application. Finally, how to accurately restore the original signal after fading, the detection algorithm is studied and improved, the optimal ML algorithm for large-scale MIMO system detection complexity is too high, but the linear ZF,MMSE algorithm detection performance is not up to the requirements. There are obvious disadvantages; On this premise, many non-linear algorithms, such as interference cancellation algorithm and QR decomposition algorithm, can also meet the requirements, and make corresponding improvements to the serial interference cancellation algorithm. In order to pursue the best detection effect and lower complexity, the spherical detection algorithm is studied. The performance of spherical detection algorithm is similar to that of ML algorithm, but the search space is much smaller. MATLAB software is used to simulate and verify the effect.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN919.3
本文編號(hào)：2443202
[Abstract]:At the same time, the application of wireless communication technology gradually goes deep into all aspects of social life. In order to realize large-capacity and high-speed data transmission in complex communication environment, the channel capacity of the system can be improved by using MIMO technology. As one of the core technologies used in the fourth generation of mobile communication, MIMO technology is one of the core technologies. In this paper, two key parts of space-time coding and detection algorithm in MIMO technology are studied. Space-time coding (STC) is a space-time coding technique for transmitting information bits, which is based on MIMO technology and combined with the correlation between time and space, which is several times higher than the capacity of SISO system. Because the transmission will be affected by the time-varying characteristics and multipath fading of the wireless communication channel, an effective and reliable detection algorithm is proposed at the receiver to recover the original signal. In this paper, the MIMO system model is introduced, and the basic diversity multiplexing, wireless channel and equalization estimation are introduced, and the MIMO system capacity formula is derived from the channel capacity of SISO system. The simulation results of MATLAB show that MIMO technology can greatly improve the capacity. Secondly, two classes of space-time coding are studied. The receiver must know the layered space-time coding of CSI, space-time trellis coding and space-time block coding, and do not need the differential space-time coding of CSI, considering the performance and complexity of each coding method. Determine which scenarios are suitable for application. Finally, how to accurately restore the original signal after fading, the detection algorithm is studied and improved, the optimal ML algorithm for large-scale MIMO system detection complexity is too high, but the linear ZF,MMSE algorithm detection performance is not up to the requirements. There are obvious disadvantages; On this premise, many non-linear algorithms, such as interference cancellation algorithm and QR decomposition algorithm, can also meet the requirements, and make corresponding improvements to the serial interference cancellation algorithm. In order to pursue the best detection effect and lower complexity, the spherical detection algorithm is studied. The performance of spherical detection algorithm is similar to that of ML algorithm, but the search space is much smaller. MATLAB software is used to simulate and verify the effect.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN919.3
【參考文獻(xiàn)】
相關(guān)期刊論文 前4條
1 李苗;邵朝;趙國(guó)庫(kù);;不同信道條件下MIMO空時(shí)編碼技術(shù)的特性分析[J];傳感器與微系統(tǒng);2016年06期
2 蔣涉權(quán);王晶;彭超;;MIMO系統(tǒng)中空時(shí)編碼性能仿真和分析[J];電信科學(xué);2015年02期
3 趙新雪;李瓊;肖維杰;高強(qiáng);;低復(fù)雜度最大似然MIMO信號(hào)檢測(cè)算法[J];計(jì)算機(jī)工程與設(shè)計(jì);2014年01期
4 王峗;汪晉寬;解志斌;;一種改進(jìn)的排序QR分解MIMO檢測(cè)算法[J];信息與控制;2008年02期
相關(guān)碩士學(xué)位論文 前4條
1 金鑫;MIMO無(wú)線通信系統(tǒng)中的信號(hào)檢測(cè)技術(shù)研究[D];華東理工大學(xué);2014年
2 鄒維辰;基于球形譯碼的MIMO系統(tǒng)信號(hào)檢測(cè)算法的研究[D];江蘇科技大學(xué);2013年
3 徐志恒;無(wú)線通信中空時(shí)分組編碼技術(shù)的研究[D];西南交通大學(xué);2010年
4 雷霆;MIMO系統(tǒng)的空時(shí)編碼技術(shù)研究[D];哈爾濱工程大學(xué);2010年
，本文編號(hào)：2443202
本文鏈接：http://www.wukwdryxk.cn/kejilunwen/xinxigongchenglunwen/2443202.html
最近更新
教材專(zhuān)著
