FBMC-OQAM Helping Pilots Application for Synchronization and Channel Estimation Sequences

Devyatkin, E. E.; Ivankovich, M. V.; Kuchumov, A. A.; Lobov, E. M.; Varlamov, V. O.

doi:10.1109/ieeeconf53456.2022.9744398

Cited by 3 publications

(1 citation statement)

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“…In [ 12 , 13 ], the authors described a set of preambles for FBMC-OQAM MIMO systems based on interference approximation methods (IAMs) and an interference cancellation method (ICM). Another method [ 14 ], applicable for pilot symbols and preambles integrated into data payload, is to generate additional helping symbols, whose values will cancel self-interference from surrounding symbols. However, these methods can be applied to cancel self-interference only for a preamble or pilot signal, because they significantly decrease the spectral efficiency of transmitted data.…”

Section: Introductionmentioning

confidence: 99%

Investigation of FBMC-OQAM Equalization with Real Interference Prediction Algorithm Properties for MIMO Transmission Scheme

Varlamov

Lobov

Lobova

2023

Sensors

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Increasing the data transfer rate is an urgent task in cellular, high-frequency (HF) and special communication systems. The most common way to increase the data rate is to expand the bandwidth of the transmitted signal, which is often achieved through the use of multitone systems. One such system is the filter bank multicarrier (FBMC). In addition, speed improvements are achieved using multi-input–multi-output (MIMO) systems. In this study, we developed an algorithm for equalizing FBMC signals with offset-QAM modulation (OQAM) with self-interference compensation due to its correlation properties in a MIMO channel with memory. An analytical derivation of the proposed algorithm and an analysis of the computational complexity are given. According to the results of simulation modeling and a comparative analysis of performance in terms of the bit error rate and error vector magnitude with solutions with similar computational complexity, a similar level of performance was shown compared to a more complex parallel multistage algorithm, and a better performance was demonstrated compared to a one-tap algorithm.

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Section: Introductionmentioning

confidence: 99%