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논문검색

Random Pilot Signal Design and Channel Estimation Method based on Compressed Sensing Theory

초록

영어

A channel parameter estimation method adapted to a wireless communication system is proposed. The wireless communication system includes a transmitter and a receiver. The proposed method includes following steps. The transmitter transmits a plurality of pilot signals to the receiver by using one of a plurality of preconfigured sparse random pilot patterns. The receiver receives the pilot signals, performs a channel parameter estimation on the pilot signals by using a compressive sensing algorithm to obtain a multipath channel number, and selects a pilot pattern for a next cycle among the preconfigured sparse random pilot patterns according to the multipath channel number and a current pilot number. Additionally, the receiver transmits feedback information associated with the selected pilot pattern to the transmitter.

목차

Abstract
 1. Introduction
 2. Compressed Sensing Theory
 3.Channel Estimation
  3.1 Multi-carrier System Model
  3.2 Delayed Doppler Sparsity
  3.3 Channel Estimation based on Compressed Sensing
 4. Simulation Result
 5. Conclusion
 References

저자정보

  • Li Li College of Computer Science, Xi’an Polytechnic University
  • Ning Chen College of Computer Science, Xi’an Polytechnic University

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