Real-Time Variants of Vertical Synchrosqueezing: Application to Radar Remote Sensing

Abstract

This article presentsthorough research on using high-order vertical synchrosqueezing (VSS) in different radar remote sensing applications. The method well established in the literature is examined and compared to the novel form of third-order VSS and first-order VSS using an enhanced estimator of the instantaneous frequency, both proposed by the authors. An investigation shows that the two introduced variants of VSS are characterized by preserved capabilities (understood as the possibility to concentrate the time-frequency distribution and its reconstruction) with significantly reduced computation cost. The research shows that in practical radar remote sensing applications, high-order VSS can be successfully replaced by the approach proposed in this article with a lower computational burden. Furthermore, the methods are validated under numerical experiments, both simulated and real-life, which showed the efficiency of the proposed methods in radar signal processing, particular component extraction, and signal decomposition. Moreover, the authors developed the real-time graphical-processing-unit-based implementation of the proposed techniques and presented its efficiency in practical conditions.

Keywords

• Compute unified device architecture (CUDA)
• radar remote sensing
• radar signal processing
• time–frequency (TF) analysis
• vertical synchrosqueezing (VSS)