Spread Spectrum Data Transmission System for User Unmanned Aerial Vehicles

Abstract In today’s world of unmanned aerial vehicle (UAV) telecommunications, data transmission is both important and delicate. Various organizations have used special techniques to ensure reliable transmission and stable communication. At this stage, we propose a method that enhances security and makes the transmission of data and image more resistant to interference and eavesdropping while improving signal reliability; this method is based on the Direct Sequence-Spread Spectrum (DS-SS) technique with a new pseudo-noise PN sequence created by merging chaotic and Barker sequences. MATLAB simulates these results for different spreading factors of the new sequence, and we evaluate the performance of the system in a user context on the Additive White Gaussian Noise (AWGN) channel. As a result, the new DS-SS technology improves the quality of data transmitted by UAVs.