A Novel RMS Delay Spread Estimation for Wireless OFDM Systems*This work is supported by National Natural Science Foundation of China under grant 60496311.

  • Authors:

  • Xiaodong Xu;Ya Jing;Xiaohu You;Junhui Zhao

  • Affiliations:

  • The authors are with the National Mobile Communications Research Laboratory, Southeast University, NanJing 210096, P.R. China. E-mail: xudong@seu.edu.cn,;The authors are with the National Mobile Communications Research Laboratory, Southeast University, NanJing 210096, P.R. China. E-mail: xudong@seu.edu.cn,;The authors are with the National Mobile Communications Research Laboratory, Southeast University, NanJing 210096, P.R. China. E-mail: xudong@seu.edu.cn,;The author is with the Faculty of Information Technology, Macao University of Science and Technology, Macao, P.R. China.

  • Venue:
  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Year:
  • 2006

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Abstract

Multipath search based instantaneous root-mean-squared (RMS) delay spread (RDS) estimators mainly depend on path detection or multipath search. This paper proposes a novel method for multipath search through Minimum Descriptive Length (MDL) criterion, and hence a novel instantaneous RDS estimation method for wireless OFDM systems. compared with the conventional multipath search based instantaneous RDS estimators, the proposed estimator doesn't need any a priori information about the noise variance and the channel power delay profile (PDP) while the performance is improved. Simulation results demonstrate that the proposed estimator is also insensitive to the variance of SNR and robust against the frequency selectivity, as well as the vehicle speed.