基于训练序列的发射分集OFDM系统的空时子空间幅度跟踪信道估计
Subspace Tracking Channel Estimation for Training-Sequence-Based OFDM Systems with Transmitter Diversity
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摘要: 该文将基于训练序列的发射分集正交频分复用(OFDM)系统视为一个多时隙系统,利用空时信道空间(波达方向)子空间和时延子空间慢变的特点,将空时信道多时隙估计技术应用到发射分集OFDM系统中,并根据衰落幅度快变的特点提出了使用自适应滤波技术的空时子空间幅度跟踪信道估计算法,明显提高了系统的信道估计精度。该文对各种算法的跟踪性能进行了仿真和分析比较。Abstract: Since the channel has slowly-varying delays and directions of arrival and fast-varying faded amplitudes, benefits can be obtained by space-time processing base these channel features. In this paper, the space-time subspace and amplitude tracking algorithms using adaptive filtering technique are proposed by taking a training-sequence-based OFDM system with transmitter diversity as a multi-slot communications system and the channel estimation performance is observably improved. At the same time, this paper gives some simulations and comparisons of the performance of the different tracking algorithms.
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