Th In this paper, inspired by Orthogonal Time Frequency Space (OTFS) transformation and the rotation mechanisms in Weight Fractional Fourier Transform (WFRFT), the Delay-Doppler domain signals are rotated to transform them into the Two-Dimensional Rotation (TDR) domain. The TDR transform is a two-dimensional transform consisting of a linear superposition of several transforms. We analyzed the principle of anti-interference for TDR domain communication, the transmission and reception relationships for the TDR transformation are then derived. TDR transformation enhances the anti-interference and anti-Doppler expansion capabilities of communication waveforms, which are utilized in unmanned aerial vehicle (UAV) scenarios characterized by high mobility and malicious interference. Simulation results validate the effectiveness of the proposed approach.

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Two-Dimensional Rotation Transformation for Anti-interference and Anti-doppler Expansion in UAV Communication

  • Jinhui Tan,
  • Ruohan Cao,
  • Hui Gao

摘要

Th In this paper, inspired by Orthogonal Time Frequency Space (OTFS) transformation and the rotation mechanisms in Weight Fractional Fourier Transform (WFRFT), the Delay-Doppler domain signals are rotated to transform them into the Two-Dimensional Rotation (TDR) domain. The TDR transform is a two-dimensional transform consisting of a linear superposition of several transforms. We analyzed the principle of anti-interference for TDR domain communication, the transmission and reception relationships for the TDR transformation are then derived. TDR transformation enhances the anti-interference and anti-Doppler expansion capabilities of communication waveforms, which are utilized in unmanned aerial vehicle (UAV) scenarios characterized by high mobility and malicious interference. Simulation results validate the effectiveness of the proposed approach.