Description: MIMO OFDM 技术将成为第4 代移动通信系统的关键技术, 因MIMO OFDM 对时间和频率偏移非常敏感,
因此MIMO OFDM 同步显得尤为重要。提出了一种新的MIMO OFDM 定时同步和频偏同步技术。以GCL 序列为基础设
计了一个新的符合MIMO OFDM 同步技术的导频序列, 通过对该导频序列进行2 次相关得到频率估计, 并将所得频率
运用到定时同步中, 得到更为准确的时间估计。仿真结果表明, 在相同的信噪比情况下, 该方法可以使得系统的误码
率和帧传送误码率相对传统方法得到进一步减小。-MIMO OFDM will become a key technology of the fourth generation mobile communications system. However, MIMO OFDM is
sensitive to the CFO and timing synchronization, so the MIMO OFDM synchronization technology is very important. This paper proposes an
accurate technique for timing and frequency synchronization of multiple input multiple output ( MIMO ) orthogonal frequency division
multiplexing ( OFDM) systems. The technique derives a new preamble signal based on GCL sequences, according with the MIMJO OFDM
synchronization. The carrier frequency offset ( CFO) estimation is obtained through taking double correlation operations on the preamble signal,
and used in the timing synchronization to gain accurate time estimation. The simulation results show that at the same SNR, the proposed method
can reduce the BER and the frame transmission BER of the system compared to the conventional method. Platform: |
Size: 408576 |
Author:蜡笔 |
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Description: A fully digital feedforward MSK demodulator with joint frequency offset and symbol timing estimation for burst mode mobile radio Platform: |
Size: 771072 |
Author:邓杰 |
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Description: 一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM
符号获得估计函数。当部分的长度小于ISI自由地区,该算法可以识别它。然后估计的最优符号定时和载波频率偏移可以获得。计算机仿真结果表明,该算法不仅可以跟踪时变信道变化但也有较小的MSE比ML估计算法。-A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM
symbols to acquire estimation function. When the length of part is smaller than that of ISI free region , the algorithm can distinguish it. Then the estimation of optimal symbol timing and carrier frequency offset can be acquired .The computer simulation results show that the proposed algorithm not only can track time varying channel change but also has smaller MSE than that of ML
estimation algorithm. Platform: |
Size: 276480 |
Author:wujueying |
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Search - timing offset estimation