Results 51 to 60 of about 750 (192)

Field‐Scale Soil Moisture Predictions in Real Time Using In Situ Sensor Measurements in an Inverse Modeling Framework: SWIM2

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx, Jan Vanderborght, Pieter Janssens, Eric Laloy, Sander Bombeke, Evi Matthyssen, Anne Waverijn, Jan Diels   +7 more
wiley   +1 more source

Naval LPI radars: ways to detect their operation

Transactions of the Krylov State Research Centre, 2022
Object and purpose of research. This paper presents analytical estimates for emission characteristics of foreign low-probability-of-intercept (LPI) radars. It also gives a quantitative assessment to the possibility of detecting the operation of these radars by standard naval EW tools. Subject matter and methods.
openaire   +1 more source

IUDR‐Net: Improved U‐Lite Denoising and Recognition Network for Automatic Modulation Recognition of LPI Radar Signals

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper introduces a novel AMR method named IUDR‐Net to address the challenge of poor recognition accuracy under low SNR conditions. The method first employs the improved U‐Lite network to suppress the impact of noise effectively and then adopts the ResNet18‐1D network to perform the AMR task efficiently.
Haikun Fang, Shiwen Chen, Li Zhang, Chaopeng Wu, Gangyin Sun   +4 more
wiley   +1 more source

Sig2text: A Vision‐Language Model for Non‐Cooperative Radar Signal Parsing

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
We propose Sig2text, a symbolic radar signal recognition and parameter estimation framework that treats waveform analysis as a parsing task using a vision‐language model. By integrating time‐frequency representations with a context‐free grammar and transformer‐based architectures, Sig2text accurately identifies complex modulation types and estimates ...
Jun‐Yu Yuan, Si‐Yuan Chen, Shu‐Jian Yao, Rong Zhang, Han Cong Feng, Kai‐li Jiang, Yu‐Xin Shang, Yu‐Xin Zhao, Bin Tang   +8 more
wiley   +1 more source

Design and Processing of a Novel Chaos-Based Stepped Frequency Synthesized Wideband Radar Signal

Sensors, 2018
The linear stepped frequency and linear frequency shift keying (FSK) signal has been widely used in radar systems. However, such linear modulation signals suffer from the range–Doppler coupling that degrades radar multi-target resolution.
Tao Zeng, Shaoqiang Chang, Huayu Fan, Quanhua Liu   +3 more
doaj   +1 more source

Technique for target detection and rangingbased on broadband LPI radars

Electronics Letters, 2001
A processing technique for improving the ranging and detection capabilities of LPI radars and the measured performance of an experimental system are presented. The precision of the measured distance is very high even under low SNR conditions. The associated detection algorithm also exhibits good performance in noisy environments.
Pérez Martínez, Félix, García Fominaya, Javier, Burgos García, Mateo   +2 more
openaire   +2 more sources

WFH: A Wideband Frequency Hopping‐Based Anti‐Jamming Navigation Signal Structure

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
Given the limitations of existing satellite navigation signals in antijamming performance amid growing environmental jamming, this paper proposes a navigation signal structure based on wideband frequency hopping (WFH) modulation to enhance both antijamming capability and measurement accuracy. It further introduces the nonstationary effective carrier‐to‐
Chenyang Wang, Yihai Liao, Sicong Liu, Jianghong Shi, Ao Peng   +4 more
wiley   +1 more source

LPI Radar Signal Recognition Based on Feature Enhancement with Deep Metric Learning

, 2023
Low probability of intercept (LPI) radar signals are widely used in electronic countermeasures due to their low power and large bandwidth. However, they are susceptible to interference from noise, posing challenges for accurate identification. To address
Xiaofeng Wang, Feitao Ren, Lai Shen, Hengliang Liu, Daying Quan, Dongping Zhang   +5 more
core   +1 more source

Detection of Unknown Radar Pulses Using Spiking Neural Networks

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This article proposes to use spiking neural networks (SNNs) to detect multiple pulses in observation windows from a superheterodyne receiver. The method is described from encoding to postprocessing. New metrics are introduced to compare the proposed detection method to the energy detector (ED), to a detection based on difference Of boxes (DOB) filters ...
Alexia Tachet, Fabrice Comblet, Ali Khenchaf   +2 more
wiley   +1 more source

Estimation of Lightning Activity of Squall Lines by Different Lightning Parameterization Schemes in the Weather Research and Forecasting Model

Remote Sensing, 2023
Based on three-dimensional lightning data and an S-band Doppler radar, a strong relationship was identified between lightning activity and the radar volume of squall lines. A detailed analysis of the squall line investigates the relationship following an
Dongxia Liu, Han Yu, Chunfa Sun
doaj   +1 more source