Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
A time-domain ranging algorithm is proposed for a frequency-modulated continuous wave (FMCW) short-range radar sensor with high accuracy and low complexity. The proposed algorithm estimates the distance by calculating the ratio of the beat frequency signal to its derivative and thereby eliminates the restriction of frequency bandwidth on ranging accuracy. Meanwhile, we provide error analysis of the proposed algorithm under different distances, integral lengths, relative velocities, and signal-to-noise ratios (SNRs). Finally, we fabricate FMCW sensor prototype and construct a measurement system. Testing results demonstrate that the proposed time-domain algorithm could achieve range error within 0.8 m. Compared with the conventional fast Fourier transform (FFT) estimation scheme, the proposed method performs ranging without the requirement of complex multiplications, which makes it reasonable to be implemented in real-time and low-cost systems.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679248 | PMC |
| http://dx.doi.org/10.3390/s19143176 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Demonstration of a Nested Electrostatic Linear Ion Trap for Flexibility in Selecting Analyzer Figures-of-Merit.
Int J Mass Spectrom
December 2025
Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907-2084, USA.
An electrostatic linear ion trap (ELIT) is used to trap ions between two ion mirrors with image current detection by central detection electrode. Transformation of the time-domain signal to the frequency-domain via Fourier transform (FT) yields an ion frequency spectrum that can be converted to a mass-to-charge scale. Injection of ions into an ELIT from an external ion source leads to a time-of-flight ion separation that ultimately determines the range of over which ions can be collected from a given ion injection step.
View Article and Find Full Text PDFAluminum surface lattice resonances for enhanced near-infrared performance in asymmetric environments.
Nanoscale
September 2025
Université Paris Cité, Laboratoire ITODYS, CNRS, F-75006 Paris, France.
Aluminum (Al) is a cost-effective alternative to noble metals for plasmonics, particularly in the ultraviolet (UV) and visible regions. However, in the near-infrared (NIR) region, its performance is hindered by interband transitions (IBTs) at around 825 nm, leading to increased optical losses and broad resonances. Surface lattice resonances (SLRs) offer a promising solution by enhancing the plasmonic quality factor (-factor) through coherent coupling of localized surface plasmon (LSP) modes with Rayleigh anomalies.
View Article and Find Full Text PDFChemically and Electromagnetically dual-enhanced COFs-Au@AgNPs SERS sensor integrated with deep learning for ultrasensitive detection of neonicotinoid pesticides.
Anal Chim Acta
November 2025
Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China.
Background: With the development of modern agriculture, neonicotinoid pesticides have been widely used due to their high efficiency and strong systemic properties. However, excessive use leads to the accumulation of residues in the food chain, threatening the ecosystem and human health. Pesticide residues are easily accumulated in oilseed crops and become concentrated during the edible oil refining process.
View Article and Find Full Text PDFReconstructing time-domain data from discontinuous Percept™ PC and RC output using external data acquisition and linear filtering.
J Neurosci Methods
September 2025
Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States of America.
Background: The Medtronic Percept™ PC and RC are deep brain stimulation (DBS) systems with recording capability. However, when the stimulation frequency is changed, the recordings were segmented, introducing interruptions that shift each segment in the time domain.
New Method: Ex-vivo, stimulation frequency was changed while local field potential was being recorded in both leads.
Spectroscopic characterization of three fungicides using terahertz spectroscopy and DFT theory, combined with convolutional neural networks for quantitative analysis of tebuconazole.
Spectrochim Acta A Mol Biomol Spectrosc
August 2025
School of Aeronautics and Astronautics, Guilin University of Aerospace Technology, China.
Fungicides are essential agrochemicals for the prevention and control of plant diseases. Counterfeit products, often lacking enough active ingredients, can compromise disease management and pose risks to agricultural safety. Precise quantification of the chemical structure and concentration of active components enables reliable authentication of fungicide formulations, ensuring their efficacy in crop protection and supporting the quality and safety of agricultural production.
View Article and Find Full Text PDF