Non-Linear Signal Processing Methods for UAV Detections from a Multi-Function X-Band Radar

This article develops the applicability of non-linear processing techniques such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-input-multiple-output (MIMO) for purpose enhanced UAV detections using portable radar systems. The combined scheme has many advantages potential better detection classification accuracy. Some benefits are discussed here with a phased array platform in mind, novel Radar (PWR) by Agile RF Systems (ARS), which offers quadrant outputs. CS IAA both show promising results when applied to micro-Doppler returns owing sparse nature target Doppler frequencies. shows promise reducing dwell time increases rate at volume can be interrogated. Real-time information iterative solutions is possible now advent GPU-based graphics hardware. Simulations results.