So it is necessary to study the channel estimation method of MIMO-OFDM systems.
因此，有必要对MIMO - OFDM系统的无线信道估计方法进行研究。
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。
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。
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。
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。
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。
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 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。
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。
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。
However OFDM and MIMO OFDM systems are very sensitive to time and frequency synchronization errors, especially the frequency synchronization error.
但OFDM系统和MIMO OFDM系统对时间和频率同步误差很敏感，特别是频率同步误差。
This paper studies the application of minimum description length (MDL) criterion for estimating root-mean-squared (RMS) delay spread (RDS) for MIMO OFDM systems.
研究了MIMO OFDM系统中最小描述长度（MDL）准则在均方根时延扩展估计中的应用。
OFDM has the ability of transforming the frequency-selective channel into a collection of parallel flat-fading subchannels and therefore can be adopted in MIMO systems to combat multi-path effects.
OFDM技术可以把频率选择性衰落的信道转化成一组正交的平坦衰落的信道，因此可将OF DM技术应用在MIMO系统中来克服多径衰落的影响。
A multiple carrier frequency offsets (CFOs) estimation algorithm for multiple Input multiple Output Orthogonal frequency Division Multiplexing (MIMO-OFDM) systems based on pilot symbols was proposed.
提出了一种基于导频符号的多输入多输出正交频分复用(MIMO - OFDM)系统多频偏估计算法。
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, the combination of MIMO and OFDM is an attractive and competitive solution for future broadband wireless systems.
因此，OFDM和MIMO技术的结合已经成为未来宽带无线通信领域最有吸引力的候选方案。
Therefore, the combination of MIMO and OFDM is an attractive and competitive solution for future broadband wireless systems.
因此，OFDM和MIMO技术的结合已经成为未来宽带无线通信领域最有吸引力的候选方案。
应用推荐