Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Blind Channel Tracking for Zero Padding OFDM System Using a Two-layer Neural Network

Author(s): He Huang, Jing Yang, Yuhang Wang, Hongxing Zou

Address: Department of Automation, Tsinghua University, Beijing, China, 100084 | Department of Automation, Tsinghua University, Beijing, China, 100084 | Department of Automation, Tsinghua University, Beijing, China, 100084 | Department of Automation, Tsinghua University, Beijing, China, 100084

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 245 - 248

Abstract/Summary: 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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