Symbol detection method for low-complexity OTFS systems for highly dynamic unmanned cluster intelligent data link

Weiwei Chen; Meng Wen

doi:10.1117/12.3037722

27 September 2024 Symbol detection method for low-complexity OTFS systems for highly dynamic unmanned cluster intelligent data link

Weiwei Chen, Meng Wen

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 1327515 (2024) https://doi.org/10.1117/12.3037722
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

Data Link network is the foundation and key to support the efficient aggregation and sharing of various resources on the battlefield. Unmanned cluster intelligent data chain under strong confrontation environment will become the key to support unmanned system to form combat capability. At present, the existing unmanned system communication is susceptible to the Doppler effect due to the orthogonal frequency division multiplexing (OFDM) modulation technique, while the orthogonal time frequency space (OTFS) has better performance than OFDM in high mobility wireless communication scenarios. In this paper, we propose a deep neural network-based symbol detection method for OTFS system to address the problems of high complexity and poor detection performance of the symbol reception detection algorithm of OTFS for unmanned system intelligent data chain. The method uses a training set to train the constructed deep neural network, detects the received symbols in the time-delayed Doppler domain, and obtains the estimated value of the transmitted symbols. The method is able to reduce the overall symbol detection complexity of the OTFS system, increase the speed of detecting received symbols, and significantly improve the reception performance of OTFS.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Weiwei Chen and Meng Wen "Symbol detection method for low-complexity OTFS systems for highly dynamic unmanned cluster intelligent data link", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 1327515 (27 September 2024); https://doi.org/10.1117/12.3037722

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KEYWORDS

Optical transfer functions

Education and training

Neural networks

Signal detection

Data transmission

Doppler effect

Orthogonal frequency division multiplexing

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