A Time-Domain Channel Impulse Response Estimation Method for an OFDM Sounding System

Iqbal, A. and Jeoti, V. and Drieberg, M. and Wen, W.P. (2019) A Time-Domain Channel Impulse Response Estimation Method for an OFDM Sounding System. In: UNSPECIFIED.

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Abstract

Channel characterization is essential to develop a reliable communication system. In this article, a time-domain cyclic correlation-based channel impulse response (CIR) estimation technique is proposed for frequency-domain pilot aided orthogonal frequency division multiplexing (OFDM) sounding systems. The proposed system provides an improved mean squared error (MSE) as compared to least square (LS) and minimum least square (MMSE) techniques. In this paper, periodic comb-type pilots are considered. The time-domain cyclic correlation results of the up-sampled frequency-domain pilot sequence contain multiple copies of CIR with a length equal to the sequence length. The aggregated response from various copies of CIR in one symbol results in a better CIR estimation. The proposed system provides better performance with very less computational complexity. The performance of the system is evaluated in the Rayleigh channel. The results show that the proposed method can be a better alternative to LS and MMSE technique for OFDM sounding systems. © 2019 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 4; Conference of 6th IEEE International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2019 ; Conference Date: 27 August 2019 Through 29 August 2019; Conference Code:159025
Uncontrolled Keywords: Frequency domain analysis; Frequency estimation; Impulse response; Mean square error; Orthogonal frequency division multiplexing, Channel characterization; Channel impulse response; Cyclic correlation; Estimation methods; Estimation techniques; Frequency domain pilots; Mean squared error; Reliable communication, Time domain analysis
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:25
Last Modified: 10 Nov 2023 03:25
URI: https://khub.utp.edu.my/scholars/id/eprint/11408

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