Low complexity generalized time-reversed space-time coding algorithm for multi-antenna telemetry system

Hengkui Cao; Tian Hao; Shuang Guan; Feng Yang

doi:10.1117/12.3033340

29 July 2024 Low complexity generalized time-reversed space-time coding algorithm for multi-antenna telemetry system

Hengkui Cao, Tian Hao, Shuang Guan, Feng Yang

Proceedings Volume 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024); 1321412 (2024) https://doi.org/10.1117/12.3033340
Event: Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 2024, Guangzhou, China

Abstract

In aeronautical telemetry systems, diversity is often used to overcome multipath interference in frequency-selective fading channels. Generalized Time-Reversed Space-Time Block Coding (GTR-STBC) is a promising diversity scheme, which differs from other diversity schemes in that it dynamically allocates power to multiple transmit antennas based on feedback parameters from the receiver. However, the original system did not offer a solution for scenarios involving multiple receiving antennas, and it required a significant number of iterations during the computation process, leading to high computational complexity. In this paper, we propose a dual-receiving-antenna algorithm based on Maximum Ratio Combining (MRC) for GTR-STBC systems. Compared to single-receiving-antenna systems, the proposed algorithm improves the bit error rate performance by 0.6-1.2 dB. In scenarios with single receiving antennas, the proposed algorithm eliminates the need for iterative computation, significantly reducing computational complexity while maintaining negligible performance loss.

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

Citation Download Citation

Hengkui Cao, Tian Hao, Shuang Guan, and Feng Yang "Low complexity generalized time-reversed space-time coding algorithm for multi-antenna telemetry system", Proc. SPIE 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 1321412 (29 July 2024); https://doi.org/10.1117/12.3033340

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