摘要： 在城市峡谷和室内环境中，信号在传输过程中受多径衰落和非视距的影响，导致长期演进(LTE)系统的时延参数无法精确估计。针对该问题，提出一种基于多输入多输出(MIMO)的LTE时延参数估计算法。采用具有良好自相关特性的主同步信号作为参考信号，利用MIMO发射分集和最大比合并接收技术降低信号传输过程中的误码率，通过参考信号与接收信号进行互相关处理，获得时延估计。仿真结果表明，当累积分布概率为90%时，该算法的时延参数估计误差比参考算法提高了大约5个最小采样间隔。
关键词:
长期演进系统,
多输入多输出,
参考信号,
时延估计,
发射分集,
最大比合并
Abstract: The time delay parameter can not be accurately estimated in Long-term Evolution(LTE) system because of the multipath fading and the non-line-of-sight in urban canyons and indoor environments. In response to these issues, an algorithm of time delay estimation that is based on Multiple-input Multiple-output(MIMO) in LTE system is proposed. It uses the primary synchronization signal which has a good autocorrelation characteristic as the reference signal. Then, in order to reduce the error rate in the signal transmission process, the technique of transmitter diversity and Maximum Ratio Combining(MRC) are utilized to obtain the maximum SNR received signal. The operation of cross-correlation between the received signal and reference signal is processed to obtain the time delay estimation. Simulation results show that the time delay estimation in proposed algorithm is improved by about 5 sampling interval compared with the reference algorithm in the error of cumulative distribution probability of 90%.
Key words:
Long-term Evolution(LTE) system,
Multiple-input Multiple-output(MIMO),
reference signal,
time delay estimation,
transmit diversity,
Maximal Ratio Combining(MRC)
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