叠加训练序列设计及其高效传输技术研究

采用训练序列与信息数据叠加的传输方案由于消除训练序列占用的频带开销而受到广泛关注。然而,如何高效的分离叠加信号是实现高效信道估计和可靠检测的基础。通过叠加周期训练序列,研究了基于数据依赖的叠加训练(DDST)方案的高效信道估计和检测方案。并结合信道编码技术,研究了编码条件下DDST方案与传统时分复用(TDM)方案的性能。仿真结果表明,在消除训练带宽开销的情况下,获得DDST方案与TDM的误码率基本保持一致。

Superimposed Training Sequence Design and Its Efficient Transmission Technology

The transmission scheme, for its superimposition of training sequence and information data, and removal of bandwidth cost occupied by training sequence attracts extensive attention from the people. How-ever, how to effectively separate superimposed signals thus becomes the basis for achieving efficient channel estimation and reliable detection. Based on superimposed periodic training sequence, an efficient channel estimation and detection scheme based on DDST (Data-Dependent Superimposed Training) scheme is stu-died. And combined with channel coding technology, the performance of DDST scheme and traditional TDM (Time-Division Multiplexing) scheme under coding condition is compared. Simulation results indicate that under the removal of training bandwidth cost, the BER of DDST is almost consistent with that of TDM.