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  4. Vol 9, Issue 3, 2025

Research on anti-jamming transmission mechanism and intelligent modulation recognition algorithm of data link for complex battlefield environment

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DOI: 10.23977/acss.2025.090306 | Downloads: 3 | Views: 638

Author(s)

Lixia Liu 1, Kai Wang 1, Guotao Shen 1

Affiliation(s)

1 College of Information Engineering, Engineering University of PAP, Xi'an, Shaanxi, 710086, China

Corresponding Author

Lixia Liu

ABSTRACT

Under the background of multi-domain joint operations in modern warfare, data link, as the "nerve center" of the battlefield, faces the severe challenge of high-density and multi-dimensional dynamic electromagnetic interference. The traditional data link system has an "adaptive dilemma" because it adopts a fixed anti-jamming strategy, and modulation recognition is limited by the performance bottleneck under low signal-to-noise ratio (SNR) and the "intelligent bottleneck" of insufficient generalization ability of deep learning model. Aiming at the above problems, this study constructs a closed-loop framework of "perception-decision-execution", and proposes a cross-layer cooperative anti-interference transmission mechanism and an intelligent modulation recognition algorithm. The anti-jamming transmission mechanism perceives the channel and interference characteristics in real time through lightweight convolutional neural network (CNN), and dynamically optimizes frequency hopping, direct sequence spread spectrum and power control strategies based on Dueling Double DQN (DDQN) algorithm to realize adaptive resource allocation. The design of the intelligent modulation recognition algorithm TFSC-Net (Time-Frequency-Symbolic Joint Network) dual-channel feature fusion model jointly extracts features from the time-frequency domain and symbol domain of the signal, and improves the recognition accuracy and generalization capability under low SNR by combining an enhanced loss function. Experimental results demonstrate that the proposed scheme achieves a low bit error rate of 8.7×10⁻⁵ and a throughput of 34.9 Mbps in a strong interference environment (JSR=20dB). TFSC-Net achieves a recognition rate of 89.4% at 0dB SNR and 97.3% at 10dB SNR, with a latency controlled at 13.8ms, balancing interference resistance, recognition accuracy, and real-time performance. The research findings provide technical support for enhancing the survivability of battlefield communications, strengthening electronic warfare advantages, and promoting the development of the next-generation data link system.

KEYWORDS

Data link; complex battlefield environment; anti-jamming transmission; modulation recognition

CITE THIS PAPER

Lixia Liu, Kai Wang, Guotao Shen, Research on anti-jamming transmission mechanism and intelligent modulation recognition algorithm of data link for complex battlefield environment. Advances in Computer, Signals and Systems (2025) Vol. 9: 47-53. DOI: http://dx.doi.org/10.23977/acss.2025.090306.

REFERENCES

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