The focus on MIMO-OFDM communication system is researched.
MIMO - OFDM是目前通信系统的研究热点。
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。
Capacity of the MIMO-OFDM systems using both space diversity and polarization diversity was analyzed.
结合空间分集和极化分集，对MIMO - OFDM系统中的容量进行研究。
The main contents of the paper are some channel estimation and equalization methods in MIMO-OFDM system.
本文研究的主要内容是MIMO-OFDM系统的信道估计和均衡技术。
This dissertation investigates the topic of time and frequency synchronization for OFDM and MIMO-OFDM systems.
准确的时间同步和精确的频率同步是OFDM系统和MIMO OFDM系统正常工作的前提。
A combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.
提出了一种适用于时间频率选择性衰落信道的MIMO - OFDM系统的组合信道估计方法。
Being one of the core MIMO techniques, the space-time code technique takes a very important status in the MIMO-OFDM system.
作为MIMO核心技术之一的空时编码技术，在MIMO - OFDM系统中具有极为重要的地位。
Allocation of antennas and subcarriers is one of most important issue for multiuser MIMO-OFDM system radio resource management.
天线与子载波分配是多用户MIMO - OFDM系统无线资源管理中的重要内容。
The basic thought is to apply the existing blind source separation (BSS) algorithm to the signal detection in MIMO-OFDM systems.
基本思想是将现有的盲信源分离算法(BSS)应用到MIMO - OFDM系统的信号检测中。
The paper researches the base station testing technology and analyses the MIMO-OFDM system theory and LTE base station testing items.
因此开展MIMO-OFDM的基站测试系统研究具有重要的理论意义和实用价值。
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。
On the other hand, adaptive modulation technique can enhance data rate, spectrum efficiency and transmission reliability in MIMO-OFDM systems.
另一方面，对于MIMO - OFDM系统来说，自适应调制技术可以提高系统的数据传输率、频谱效率以及传输的可靠性。
Study shows the simplified implementation scheme is applicable in hardware implementation of MIMO-OFDM system timing synchronization algorithm.
研究表明，简化实现方案可以用于MIMO - OFDM系统定时同步算法的硬件实现。
Finally, STBC is applied to MIMO-OFDM systems, and the simulation model is built. The performance in multiple simulation condition is researched.
最后，将空时分组码应用于MIMO - OFDM系统中，建立了STBC - OFDM的仿真模型，研究了在多种仿真条件下MIMO - OFDM系统的性能。
Then, we study the precoding for space multiplexing MIMO-OFDM systems. Here, we propose an interpolation-based vector quantization precoding scheme.
然后，研究了空间复用MIMO - OFDM系统的预编码，提出了一种基于插值的矢量量化预编码方案。
In this dissertation, research work mainly focus on theory and technique of carrier frequency synchronization in MIMO-OFDM systems with diversities.
本论文的主要工作是针对OFDM和MIMO - OFDM系统中的载波同步理论和分集同步方法的研究。
The results of simulation show that space-time block code based on MIMO-OFDM is a highly effective technique against the frequency-selective random fading.
仿真结果表明，将空时编码技术与M IMO-OFDM技术相结合能有效地抵抗频率选择性随机衰落。
The algorithm of MIMO-OFDM synchronization is also proposed with improved training sequences including frame synchronization and frequency synchronization.
同时也介绍了MIMO-OFDM系统中的同步技术，包括MIMO-OFDM帧同步和载波频率同步，并提出了改进的前导序列生成方法。
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。
The MIMO-OFDM channel estimation method is researched based on the system design, and a space-frequency domain optimal pilot-tones design algorithm is presented.
从系统设计角度研究了MIMO-OFDM系统的信道估计方法，提出一种基于空频域的最优导频设计算法。
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。
The LMMSE channel estimation algorithms based on Pilot-Assisted is investigated for MIMO-OFDM systems, and the Low-Bound of MSE for LMMSE channel estimation is derived.
该文对MIMO - OFDM系统中基于导频辅助的LMMSE信道估计算法进行了研究，导出了其估计均方差的下界。
MIMO-OFDM system is a seamless merger of MIMO and OFDM, which can potentially provide larger coverage range, more reliable transmission, higher data rate and spectrum efficiency.
因此，OFDM技术和MIMO技术的结合可以提供更大的覆盖范围，更好的传输质量，更大的数据速率和更高的频谱效率。
MIMO-OFDM system is a seamless merger of MIMO and OFDM, which can potentially provide larger coverage range, more reliable transmission, higher date rate and spectrum efficiency.
MIMO和OFDM的结合可得到MIMO OFDM系统，它能使提供更大的覆盖范围，更好的传输质量，更大的数据速率和频谱效率。
This dissertation focused on MIMO-OFDM system and made a thorough research on the key theories and technologies including channel estimation and dedicated reference signal design.
本论文对MIMO - OFDM系统物理层的若干关键理论和技术进行了深入研究，包括：信道估计、专用导频设计等问题。
The effect of sample frequency offset on MIMO-OFDM signals is exploited. An amplitude weighted least squares estimation of sample frequency offset in MIMO-OFDM systems is presented.
本文分析了采样钟频率偏移对MIMO-OFDM系统接收信号的影响，提出了一种适用于MIMO-OFDM系统的采样钟频率偏移估计算法，即幅度加权最小平方估计法。
The model of the MIMO-OFDM system in doubly-selective channels is derived and a lower bound of mean squared error(MSE) of the channel estimator using frequency domain pilot is presented.
基于双衰信道的频域响应，提出了一类双衰信道下多天线正交频分复用（MIMO-OFDM）系统的最优化频域导频设计方案。
Secondly, the MIMO-OFDM systems and several classic signal detection algorithms are introduced, then their detection performances and time complexities are simulated, analyzed and compared.
其次，介绍了MIMO - OFDM系统和几种经典的信号检测算法，并对其检测性能和时间复杂度进行了仿真和分析比较。
Secondly, the MIMO-OFDM systems and several classic signal detection algorithms are introduced, then their detection performances and time complexities are simulated, analyzed and compared.
其次，介绍了MIMO - OFDM系统和几种经典的信号检测算法，并对其检测性能和时间复杂度进行了仿真和分析比较。
应用推荐