Signal Extension Method for Improved Range Resolution of Frequency-Modulated Continuous Wave Radar in Indoor Environments

• Published in: Applied sciences Vol. 14; no. 20; p. 9456
• Main Authors: Lee, Seonyul, Kim, Minsu, Jung, Yunho, Lee, Seongjoo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: Algorithms; Analysis; Bandwidths; Deep learning; DSP; FMCW; FMCW radar; Fourier transforms; Frequency modulation; Methods; Neural networks; Radar systems; range resolution; Signal processing
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app14209456

The range resolution of FMCW radar is critical for accurately distinguishing between multiple objects. Higher range resolution allows for better object separation and more precise location determination. While increasing the bandwidth can improve range resolution, it also raises costs and may be subject to regulatory constraints on the available frequency spectrum. This paper proposes an approach to enhance range resolution by increasing the effective bandwidth through signal processing, specifically by introducing the Estimated Signal Padding (ESP) method. ESP extends the bandwidth by lengthening the signal in the time domain, creating a synthesized signal for each target. The proposed algorithm can improve range resolution by a factor of at least 2.25. Unlike existing methods such as Zero Padding and Neural Network Padding, the proposed algorithm can distinguish targets of varying sizes rather than only targets of the same size. The performance of the algorithm has been validated through MATLAB simulations and FMCW radar experiments.