We further analyze the effect of channel estimation error on multiuser detection.
进一步分析了信道估计错误对多用户检测器的影响。
Finally, the adaptive resource allocation problem for the MIMO systems in the presence of channel estimation error is analyzed.
最后，对存在信道估计误差时MIMO系统中的自适应资源分配问题进行了研究。
Following is an analytical expression to calculate the BER of M-QAM under Rayleigh channel when channel estimation error exists.
提出了计算瑞利信道下存在信道估计误差时m -QAM的误比特率的解析表达式。
Theoretical results of the lower bound of the bit error rate as well as the channel estimation error of the proposed algorithm were given.
从理论上分析了该算法所能达到的信道估计误差下限和比特误码率下限，并提出了最优叠加导频序列的设计准则。
In this paper, the impact of channel estimation error on the performance of multiuser Multiple-Input Multiple-Output (MIMO) transmission based on limited feedback information is analyzed.
该文针对存在信道估计误差的有限反馈多用户多输入多输出(MIMO)传输性能进行分析。
Further analyzing the effect of channel estimation error on the detectors, it is found that the multiuser detector is more sensitive to big estimation error than the single user detector.
文中迈进一步仿真分析了信道估计错误对检测器的影响，发现对于较大的信道估计错误，多用户检测器比单用户检测器更敏感。
At the same time, the channel estimation error, caused by the spectral leakage of DFT, can be reduced by canceling the auto-correlation error of the time-domain sequence of frequency-domain pilots.
同时，通过消除频域导频时域序列的自相关误差，能有效降低由DFT谱泄漏导致的信道估计误差。
The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.
本文将分形理论引入多径衰落信道的描述，提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。
Comparing with the Linear Minimum Mean Square Error (LMMSE) channel estimation method, the method is simple and need not know the channel correlation and signal-to-noise (SNR).
与已有线性最小均方差(LMMSE)信道估计方法相比，该算法简单并且不需要预先知道信道相关矩阵以及信噪比等信道信息。
To reduce this error, a recursive channel estimation algorithm was proposed to compensate the channel estimation of data field to increase the precision of the channel estimation of single timeslot.
为了降低这种误差，提出了循环迭代的算法，通过对数据域信道估计进行补偿，提高了单个时隙信道估计精度。
This letter mainly deals with the base of adaptive modulating technique: Channel estimation technology and the signal to noise ratio vs. error bit rate performance of MQAM.
本文主要研究自适应调制技术的基础：信道估计技术、MQAM信噪比误比特率性能。
Taking the channel estimation mean square error (MSE) as the performance evaluation indicator, the thesis verifies the efficiency of the proposed scheme from the theoretical aspect.
并且以信道估计均方误差(MSE)作为评估标准，从理论上证明了所提算法的有效性。
In addition, OFDM systems are very sensitive to the effect of timing error, to obtain a better channel estimation performance, the choice of synchronization algorithm is important.
此外，由于OFDM系统易受同步误差的影响，为了获得较好的信道估计性能，同步算法的选择对进行正确的信道估计也尤为重要。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
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