LFM Radar Implemented in SDR Architecture

Yoon, Jaehyuk; Yoo, Seungoh; Lee, Dong-Ju; Ye, Sung-Hyuck

doi:10.5515/kjkiees.2018.29.4.308

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…The LFM signal can be either a triangular wave, which linearly increases or decreases over time, or a sawtooth wave, which starts with a linear increase and then returns to the base frequency. The time difference between the transmitted and received signals varies with distance [14]. By accumulating distance information during the Coherent Pulse Interval (CPI) and subsequently performing Fast Fourier Transform (FFT) processing, speed information can be extracted.…”

Section: Lfm Waveformmentioning

confidence: 99%

Design and Implementation of K-Band Electromagnetic Wave Rain Gauge System

Choi,

Lim

2023

Remote Sensing

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In order to prevent and manage damage caused by localized torrential downpours, the quantitative observation of rainfall is crucial. Considering the spatial complexity and vertical variability of rainfall, it is important to obtain low-altitude, high-resolution radar observations to reduce uncertainty in radar rainfall estimates. In this paper, we present an electromagnetic wave rainfall gauge system (EWRG) that detects rainfall within the observation area and estimates the areal rainfall using electromagnetic waves. The EWRG system was developed based on a subminiature size antenna, a K-band dual-polarization transceiver, and advanced high-resolution, high-speed signal processing technology. The system design and signal processing techniques are described in detail. The EWRG has the advantage of overcoming the limitations of conventional cylindrical ground rain gauges, such as the contamination and spatial inaccuracy of rain gauges, which cause uncertainty in quantitative precipitation measurement.

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Section: Lfm Waveformmentioning

confidence: 99%