UAV Target Detection Algorithm Using GNSS-Based Bistatic Radar

Global navigation satellite system (GNSS)-based bistatic radar has become an attractive technology in remote sensing applications, and coherent integration is a vital operation for improving its detection ability due to the very weak signal. For small to medium UAV detection, one problem is the coherent integration loss due to issues such as the Doppler-intolerant characteristic of GNSS signal and the large range cell migration over long coherent integration time. In this paper, a modified UAV detection algorithm is proposed. The quadratic phase term caused by transmitter motion is first compensated, then the UAV target echo signal is focused in the Range-Doppler domain by an improved Radon Fourier Transform (RFT) with range-walk removal and Chirp-Z transform. Finally, a refined range matched filter with a shifting Doppler is applied for range compression, and the UAV target is accurately focused in the range-Doppler plane. Numerical simulations demonstrate that the range and Doppler parameters of UAVs can be effectively obtained.