Antenna is an important part of MIMO communication system, and its proper design can optimize the system.
天线作为MIMO通信系统的重要组成部分，其合理的设计能起到优化系统的效果。
In order to meet the above requirements, we introduced network coding technique in the MIMO communication system.
为了满足上述要求，我们在MIMO通信系统中引入了网络编码技术。
In MIMO communication systems, an eigen-beamforming algorithm which could reduce the symbol error rate effectively was proposed.
在多输入多输出通信系统中，为了有效地降低系统的误符号率，提出了一种特征波束形成算法。
This thesis analyzes the impact of time-varying channel on channel reciprocity in TDD-MIMO communication systems. And then method compensating channel reciprocity is proposed.
论文分析了信道时变对TDD - MIMO通信系统信道互易性的影响，在此基础上提出了相应的补偿方法。
This paper discusses firstly the advantages of MIMO communication system comparing with some other communication systems, and proposes that it is necessary to study the spatial correlation.
首先介绍了多入多出系统相对于其他通信系统的优点，提出有必要研究信道的空间相关性。
In addition, there will be frequency selective fading in the future broadband MIMO wireless communication systems, and the traditional high-performance equalizer will become extremely complicated.
另外在未来宽带MIMO无线通信系统中，通常面临频率选择性衰落信道，传统高性能均衡器就会变得异常复杂。
Based on the MIMO ARQ wireless communication system, to combine the transmitting antenna selection and pre-coding, according to system capacity, this paper proposed a sub-optimal algorithm.
文章基于MIMO ARQ无线通信系统，针对发送天线选择和预编码技术的联合使用，依照系统容量，提出了一种次优的联合优化算法。
Results of simulation illustrate that the proposed algorithms can be applied to not only the MIMO system, but also the array signal processing and wireless communication system.
仿真结果表明，所提方法不仅可以直接应用到多输入多输出系统，而且还可应用到阵列信号处理及无线通信系统中。
MIMO technology is the significant breakouts in smart antenna technology of wireless communication field, it can significantly improve system capacity and using rate of frequency.
MIMO技术是无线移动通信领域智能天线技术的重大突破，能够成倍提高系统的容量和频谱利用率。
In such a future mobile communication system, how to achieve the channel capacity of MIMO becomes a very important question.
在这样的未来移动通信系统中，如何逼近MIMO信道容量是系统设计考虑的至关重要的问题。
Multiple Input Multiple Output (MIMO) is a key technology in the wireless communication systems of the new generation, as a result of its benefit for improving either the reliability or the speed.
多输入多输出（MIMO）技术是新一代无线通信系统的关键技术之一，它既可以增加传输的可靠性，也可以增加传输的速率。
This dissertation is concerned with channel estimation in both OFDM and MIMO-OFDM wireless communication systems and adaptive modulation in MIMO-OFDM systems.
本文研究了OFDM和MIMO-OFDM无线通信系统的信道估计技术以及MIMO-OFDM系统的自适应调制技术。
MIMO (Multiple Input Multiple Output) is that technology, which has become the key technology in the next generation mobile communication.
就是这样的技术，它已经成为新一代移动通信技术的研究热点和关键技术。
MIMO has been widely used in many wireless communication systems like WLAN, Wimax and LTE due to its outstanding advantages.
由于MIMO系统多入多出的特点，传统的无线通信测试方法很难满足测试要求。
Spherical decoding detection algorithm in wireless communication field is described in combination with the detection techniques of MIMO-HSDPA system.
结合MIMO -HSDPA中的检测技术，介绍了无线通信中的球面解码算法。
Therefore, the schemes of radio resource management in new generation wireless communication networks based on MIMO/OFDMA are researched in this dissertation.
为此，本论文研究基于OFDMA和MIMO技术的新一代无线通信网络中无线资源管理机制。
The signal detection in MIMO wireless communication systems ("MIMO detection") is a key problem in MIMO system-related research that can never be bypassed.
MIMO无线通信系统中的信号检测（即“MIMO检测”），是MIMO系统研究中不可回避的关键技术问题。
The focus on MIMO-OFDM communication system is researched.
MIMO - OFDM是目前通信系统的研究热点。
Using of MIMO system in the wireless channel can significantly improve the capacity of communication system.
在无线信道中采用MIMO结构能够显著提高通信系统容量。
MIMO/OFDM is an effective architecture for future wireless communication systems.
MIMO／OFDM是未来宽带无线通信接口的有效架构。
Therefore, antennas decorrelation method is quite effective to remove the correlation of working antennas, which can makes the MIMO well applied to the military mobile communication system.
因而，采用这种方法可以比较好的去除天线之间的相关性，可以使M IM O技术有效的应用在军用移动通信中。
Therefore, the combination of MIMO and OFDM has been the important technique of wideband wireless communication system.
因此MIMO技术与OFDM技术的结合已经成为宽带无线通信系统的重要技术。
A subcarrier allocation algorithm is presented for multiuser MIMO-OFDM communication network based on maximum of the system sum capacity.
针对多用户MIMO- OFDM通信网络，提出了一种基于系统和容量最大化的子载波分配算法。
MIMO-OFDM could become the core technique solution for next generation wireless communication.
MIMO - OFDM技术将成为下一代移动通信核心技术的解决方案。
Aiming at the requirement for reliability and very high data rate transmission for broadband wireless communication, a LDPC coded MIMO-OFDM system model was proposed.
针对宽带无线通信系统对高可靠性和高速率数据传输的要求，本文介绍了一种基于LDPC码的MIMO - OFDM宽带无线通信系统模型。
Absrtact: MB-OFDM UWB and MIMO wireless communication technologies are currently popular technologies in the wireless communication field.
摘要：MB—OFDMUWB无线通信技术和MIMO技术是目前无线通信领域中的热门技术。
Based on embedded operation system, the high layer protocol model and its implementation in MIMO wireless communication system is introduced.
文中基于嵌入式实时操作系统，实现了MIMO传输系统中的协议处理、业务汇聚和高速数据传输。
Channel estimation and tracking in time-varying MIMO wireless communication systems play a key role in detecting, decoding and recovering the transmitted ingormation at receiver side.
对时变多输入多输出（MIMO）信道的估计和跟踪是实现MIMO系统接收端准确检测、解码等的前提。
With an enormous advantage of achieving high system capacity, MIMO technique has been one of the widely used techniques in future wireless communication systems.
MIMO技术在提高无线通信系统容量和可靠性上具有的巨大优势，使其成为未来移动通信普遍采用的技术之一。
With an enormous advantage of achieving high system capacity, MIMO technique has been one of the widely used techniques in future wireless communication systems.
MIMO技术在提高无线通信系统容量和可靠性上具有的巨大优势，使其成为未来移动通信普遍采用的技术之一。
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