Parametric Channel Estimation by Exploiting Hopping Pilots in Uplink OFDMA
Xiaochuan Zhao (1), Tao Peng (1), Wenbo Wang (1) ((1) Beijing, University of Posts, Telecommunications, Beijing, China)

TL;DR
This paper introduces a parametric channel estimation method for uplink OFDMA systems that leverages hopping pilots and ESPRIT to improve delay subspace estimation and channel interpolation accuracy.
Contribution
It presents a novel algorithm combining hopping pilots with ESPRIT for enhanced uplink channel estimation in OFDMA systems.
Findings
Outperforms traditional local channel interpolators
Utilizes hopping pilots for better delay subspace estimation
Achieves more accurate channel interpolation
Abstract
This paper proposes a parametric channel estimation algorithm applicable to uplink of OFDMA systems with pseudo-random subchannelization. It exploits the hopping pilots to facilitate ESPRIT to estimate the delay subspace of the multipath fading channel, and utilizes the global pilot tones to interpolate on data subcarriers. Hence, it outperforms the traditional local channel interpolators considerably.
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced MIMO Systems Optimization · Wireless Communication Networks Research
