Camouflage covert communication based on correlated timing and chaotic encoding
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1.The State Key Lab of Precision Measuring Technology and Instruments, Tianjin 300072, China; 2.Micro Optical Electronic Mechanical System Technology Laboratory, Tianjin 300072, China

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TH911TH701

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    Abstract:

    In jungle environments characterized by complex terrain and dynamic conditions, traditional radio communications are prone to interference, interception, and detection. Bio-inspired acoustic covert communication has emerged as a promising stealth alternative; however, challenges such as severe multipath fading and insufficient concealment remain when mimicking animal vocalizations. To address these limitations, this study proposes a bionic camouflage covert communication method that integrates differential time-delay coding, chaotic encoding-based frame-length modulation, and Multi-Element Virtual Time Reversal Mirror (VTRM) channel equalization. The proposed method constructs a camouflage communication frame comprising synchronization and information codes. Synchronization is achieved using white-eye bird calls in combination with a chaotic encoding mechanism that dynamically modulates frame length, enhancing signal camouflage and unpredictability. Cricket chirps are utilized as information codes to implement differential time-delay coding and correlation-based timing decoding. To counteract multipath-induced signal distortions prevalent in jungle environments, VTRM technology is employed for effective channel equalization. A prototype system was developed and subjected to field testing in realistic jungle conditions, including evaluations of concealment performance. Experimental results demonstrate that under high-concealment scenarios, the proposed method achieves a bit error rate below 1.7×10-3 within a 90-meters range and maintains an average communication rate of 54.2 bit/s. These findings validate the method′s ability to balance concealment and communication efficiency in complex jungle acoustic environments.

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  • Received:
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  • Online: November 07,2025
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