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首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >DFT-Based Channel Estimation Performance Analysis and a Robust Estimation Algorithm in MIMO OFDM Systems with Virtual Carriers
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DFT-Based Channel Estimation Performance Analysis and a Robust Estimation Algorithm in MIMO OFDM Systems with Virtual Carriers

机译：具有虚拟载波的MIMO OFDM系统中基于DFT的信道估计性能分析和鲁棒估计算法

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摘要

MIMO-OFDM systems can effectively improve system capacity without increasing channel bandwidth and transmit power. However, they need more accurate channel estimation. Conventional DFT-based channel estimation(CE) suffers from the dispersive distortion due to virtual carriers(VCs). In this paper, the performance of time domain filtering Least Square (LS) CE algorithm for MIMO-OFDM systems with VCs is analyzed. A concise expression which reveals the relationship between the maximal estimation error variance among all the carriers and the design parameters is provided. Then a robust CE method is presented. Simulation results show that this method can improve estimation performance significantly even when the channel length information is overestimated.
机译：MIMO-OFDM系统可以有效地提高系统容量，而无需增加信道带宽和发射功率。但是，他们需要更准确的信道估计。常规的基于DFT的信道估计（CE）遭受由于虚拟载波（VC）造成的色散失真。本文分析了带有VC的MIMO-OFDM系统的时域滤波最小二乘CE算法的性能。提供了一个简洁的表达式，揭示了所有载波之间的最大估计误差方差与设计参数之间的关系。然后提出了一种鲁棒的CE方法。仿真结果表明，即使信道长度信息被高估，该方法也可以显着提高估计性能。

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