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Journal of Combinatorial Optimization

Erschienen in:

01.05.2023

Pilot pattern design scheme with branch and bound in PSA-OFDM system

verfasst von: Shuchen Wang, Suixiang Gao, Wenguo Yang

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 4/2023

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Abstract

Pilot symbol assisted (PSA) channel estimation is an important means to improve the communication quality of orthogonal frequency division multiplexing (OFDM) systems. The insertion position of the pilot in the frequency domain and time domain of the OFDM symbol is called the pilot pattern. The appropriate pilot pattern can greatly reduce channel estimation error and enhance communication quality. In this paper, the branch and bound (BnB) method is adopted to design the pilot pattern BnB-PP for the first time. Specifically, the result of the linear minimum mean square error method is taken as the target value of channel estimation in PSA-OFDM systems. For branching, pilot positions are randomly selected one by one in the form of the binary tree. For the boundary, after the pilots are filled randomly, a correction term is subtracted from the result of channel estimation at this time to present the expectation boundary. The results show that BnB-PP is better than the common pilot pattern. When signal-to-noise ratio is 36, the average MSE of channel estimation for 32 and 64 pilots in 1344 data signals is reduced by \(93.24\%\) and \(62.33\%\) respectively compared with the lattice-type pilot pattern.

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Titel: Pilot pattern design scheme with branch and bound in PSA-OFDM system
verfasst von: Shuchen Wang
Suixiang Gao
Wenguo Yang
Publikationsdatum: 01.05.2023
Verlag: Springer US
Erschienen in: Journal of Combinatorial Optimization / Ausgabe 4/2023
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI: https://doi.org/10.1007/s10878-023-01037-2

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