Applying the adaptive exponential min-sum decoding algorithm in a communication system of low-altitude unmanned aerial vehicles
DOI: 10.21293/1818-0442-2026-29-1-40-45
DOI: 10.21293/1818-0442-2026-29-1-40-45
Abstract: Relevance. Rayleigh fading decreases communication reliability of low-altitude unmanned aerial vehicles (UAVs), thus raising bit error rate (BER). Low-density parity-check (LDPC) codes being high effective for channel coding reduce the impact of interference caused by such fading. However, system performance depends not only on the coding scheme, but also on the decoding algorithm. The offset min-sum (OMS) algorithm, despite its low computational complexity, demonstrates insufficiently small BER. In contrast, the adaptive exponential min-sum (AEMS) algorithm, while retaining the low complexity, enhances noise immunity through its adaptive correction mechanism. Purpose of the study is to compare BERs of AEMS and OMS algorithms in the Rayleigh fading channel. Methods. A Rayleigh fading channel model for UAVs and simulation were used. Results. In contrast to OMS BER, the average AEMS BER decreased for different SNRs and orders of quadrature amplitude modulation (QAM). This reduction was significant, especially at high SNR levels: almost up to a factor of 12 at SNR=16 dB for 8-QAM. Practical significance. Even though the AEMS algorithm has higher computational complexity than the OMS algorithm, it enhances decoding. Therefore, for UAVs with sufficiently high computational resources, AEMS effectively raises communication channel reliability. The results of this study can be used in UAV design.
Keywords: decoding algorithm, LDPC codes, UAV, Rayleigh fading, bit error ratio
Funding: The study was carried out with the financial support of the Russian Science Foundation under grant No. 25-29-00139 (https://rscf.ru/project/25-29-00139/) at TUSUR.
For citation:
Chzhan V., Gazizov T. R. Applying the adaptive exponential min-sum decoding algorithm in a communication system of low-altitude unmanned aerial vehicles. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2026, vol. 29, no. 1, pp. 40–45. DOI: 10.21293/1818-0442-2026-29-1-40-45
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