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Semi-Blind Channel Estimation Algorithm for OFDM Systems
Authors:XUE Yan-ming and SU Guang-chuan
Affiliation:School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Abstract:A semi-blind channel estimation algorithm based on subspace approach for orthogonal frequency division multiplexing(OFDM) systems over the frequency-selective channel is proposed. A linear precoding is applied on each block before the IFFT operation and a low-rank structure is created in the received signal. Then subspace properties can be exploited to identify the channel up to a scalar ambiguity. The residual scalar ambiguities eliminated by inserting pilots into data stream. Simulation results illustrate the performance of the proposed semi-blind algorithm.
Keywords:linear precoding  orthogonal frequency division multiplexing(OFDM)  semi-blind channel estimation  subspace approach
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