Orders > Conference proceedings > 12th international workshop on systems, signals and image processing
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
 Systems and Intelligent Techniques)
| Full Citation and Abstract
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Title: |
Blind Channel Tracking for Zero Padding OFDM System Using a Two-layer Neural Network |
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Author(s): |
He Huang, Jing Yang, Yuhang Wang, Hongxing Zou |
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Address: |
Department of Automation, Tsinghua University, Beijing, China, 100084
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Reference: |
SSIP-SP1, 2005 pp. 245 - 248 |
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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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