Abstract
Designing a signal-processing algorithm for frequency-modulated continuous-wave (FMCW) radar applications with advanced functionality remains a challenging problem. Specifically, traditional algorithms improve detection resolution by increasing bandwidth and contribute to inefficient spectral use and maximum range reduction. To strike a balance between the maximum detection range and range resolution, we propose a resolution improvement algorithm based on super-resolution techniques. The low-resolution detection results were used to infer the high-resolution data by emphasizing the hidden spatial correlations. Simulation results confirmed that the proposed algorithm possesses an outstanding ability to achieve high-resolution detection while employing reduced bandwidth, leading to two advantages: spectral efficiency and maximum detectable range.