Cooperative Target Detection Based on UAV Jitter Model

Abstract

Motivated by the improved direction of arrival (DOA) estimation performance by intelligent reflecting surface (IRS) in target detection systems, we propose a system using IRS for the target detection on the unmanned aerial vehicle (UAV) to improve the anti-interference capability and target detection performance. However, the UAV movement degrades the detection performance, so we formulate an UAV jitter model, in which the horizontal and vertical jitters with IRS model is considered. Then, we optimize the beamforming coefficients to maximize signal-to-noise ratio (SNR) of the received signals with UAV movement. Meanwhile, the performance improvement introduced by IRS is shown by the proposed optimization method with UAV. Simulation results illustrate that, When IRS is applied to UAV target detection, with the increased number of IRS units of IRS-aided UAV target detection system, the optimized method has better detection probability and anti-jitter interference capability compared with the existing non-IRS-assisted target detection systems.