The full text of this article/chapter:
Blind Channel Tracking for Zero Padding OFDM System Using a Two-layer Neural Network
by He Huang, Jing Yang, Yuhang Wang, Hongxing Zou
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: Wireless communication channels are time variant due to the mobility of receiver. However, existing subspace-based methods for ZP-OFDM system are not capable of tracking even slow channel variations. In this paper, to cope with the blind channel tracking problem for zero padding OFDM (ZP-OFDM) system, a neural network based on projection approximation subspace tracking (PAST) is developed. Simulation results illustrate that the proposed method provides satisfactory tracking performance.
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