HRRD-Net: An End-to-End High-Resolution Range-Doppler Spectrum Estimation Algorithm

The range-Doppler (RD) spectrum of frequency-modulated continuous-wave (FMCW) radar is widely used in various fields, making high-resolution RD spectrum estimation a critical research focus. This letter proposes HRRD-Net, an end-to-end high-resolution RD spectrum estimation algorithm for FMCW radar. HRRD-Net uses 2-D complex signals as input and achieves strong anti-noise performance with a matched filtering module and denoising loss. A coarse RD spectrum is generated using a discrete Fourier transform (DFT)-initialized module, and its resolution is enhanced by a super-resolution module. Four experiments—perception, frequency accuracy, frequency resolution, and real super-resolution RD—demonstrate HRRD-Net’s ability to generate high-resolution RD spectra, even under noisy conditions, outperforming advanced RD estimation algorithms, and its frequency accuracy has been improved by approximately 37.78% compared to the Periodogram.