Interference Resistant Position Awareness for Collision Avoidance in Dense Drones Swarming

Abstract

Global interest in drones is prone to surface challenges related to collision avoidance in dense constellation. Existing collision avoidance mechanism, known as Automatic Dependent Surveillance-Broadcast (ADS-B), contains serious limitations of interference effects due to broadcasting. Therefore, we propose a novel Discrete Sequence Spread Spectrum (DSSS) enabled Minimum Shift Keying (MSK) modulation for Three Dimension (3D) position sharing in collision avoidance mechanism. Our proposed scheme avoids extra processing through physical layer addressing and provides convergence to further reduced broadcast rate. We analyzed the performance of the proposed mechanism in the spectrum completely covered with Gaussian noise. The MATLAB based analysis results indicate the proposed scheme as a potential solution to address the challenges faced in drone to drone communication for collision avoidance in dense swarms of drones or Unmanned Aerial Vehicles (UAV). Moreover, the proposed scheme outperforms the traditional demodulation approach compare to direct correlation without demodulation. Further, we discussed possible future research directions in subject solution.