A Scattering Centers Cutting Algorithm for High-Resolution Frequency Stitching Wireless Sensing

The spatial resolution is one of the key issues to be addressed for wireless sensing, which traditionally relies on the signal bandwidth. However, directly enhancing the signal bandwidth is less effective, due to the challenges in (i) hardware implementations for large bandwidth signal generation and reception, and (ii) strict wireless spectrum management. Therefore, solutions those try to combine observations from multi-band signals to improve the spatial resolution have become attractive so far. In this paper, we propose a scattering centers cutting algorithm (SCC) based on the well-known Geometrical Theory of Diffraction (GTD) model, for frequency stitching sensing. A method based on the generalized likelihood ratio test (GLRT) method and SCC are combined, to optimize the target model order and related coefficients, which can greatly improve the sensing performance. Simulation results and real-world experiments are both provided, to show the effectiveness of the proposed SCC solution.