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http://dx.doi.org/10.3837/tiis.2022.12.018

Improved Maximum Access Delay Time, Noise Variance, and Power Delay Profile Estimations for OFDM Systems  

Wang, Hanho (Department of Smart Information and Telecommunication Engineering, Sangmyung University)
Lim, Sungmook (Department of IT-Energy Convergence (BK21 FOUR) and Department of Electronics Engineering, Korea National University of Transportation)
Ko, Kyunbyoung (Department of IT-Energy Convergence (BK21 FOUR) and Department of Electronics Engineering, Korea National University of Transportation)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.16, no.12, 2022 , pp. 4099-4113 More about this Journal
Abstract
In this paper, we propose improved maximum access delay time, noise variance, and power delay profile (PDP) estimation schemes for orthogonal frequency division multiplexing (OFDM) system in multipath fading channels. To this end, we adopt the approximate maximum likelihood (ML) estimation strategy. For the first step, the log-likelihood function (LLF) of the received OFDM symbols is derived by utilizing only the cyclic redundancy induced by cyclic prefix (CP) without additional information. Then, the set of the initial path powers is sub-optimally obtained to maximize the derived LLF. In the second step, we can select a subset of the initial path power set, i.e. the maximum access delay time, so as to maximize the modified LLF. Through numerical simulations, the benefit of the proposed method is verified by comparison with the existing methods in terms of normalized mean square error, erroneous detection, and good detection probabilities.
Keywords
maximum access delay time; PDP; OFDM; multipath fading channel; ML;
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