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Signal Processing for Atmospheric Radars
[chapter]
1990
Radar in Meteorology
Preserved Fulltext
Data processing algorithms take the base parameter estimates and further process them so that they convey information that is of direct use to the radar user. ...
For atmospheric radars this information is often referred to as the "base parameter estimates". ...
Twenty years ago, Doppler processing using the now standard pulse pair estimator was not readily accepted. ...
doi:10.1007/978-1-935704-15-7_21
fatcat:2hqktj545rcoho6e57dfv4iwsa
AIRBORNE SAR IMAGE BRIGHTNESS COMPENSATION ENHANCEMENT PROCESSING BASED ON NSCT TRANSFORM
2022
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In this paper, a brightness compensation enhancement processing method based on nonsubsampled contourlet transform (NSCT) is used to address the widely used problems of synthetic aperture radar (SAR) images ...
with unbalanced internal brightness and blurred detailed texture features and severe image SAR. ...
In this paper, a brightness compensation enhancement processing method based on nonsubsampled contourlet transform (NSCT) is used to address the widely used problems of synthetic aperture radar (SAR) images ...
doi:10.5194/isprs-annals-x-3-w1-2022-157-2022
fatcat:qbquzvknorfxhmgmm6h3cgwnxy
Effective Processing of Radar Data for Bridge Damage Detection
2019
Shock and Vibration
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In addition, the distribution of errors and the sensitivity of classifiers based on the DSF parameter and Cook's distances leaving them will enable the automation of the classification process using machine ...
The optimization of the performed calculations, in particular the proposed optimal ARMA model order, the method of fault identification based on the DSF parameter, or fault identification based on a nonmetrical ...
Supplementary Materials Raw radar measurement data have been provided as a supplementary material in the form of a PDF file. (Supplementary Materials) ...
doi:10.1155/2019/2621092
fatcat:wbch7gbb2jbitmqjysjq7rctji
Editorial
2005
EURASIP Journal on Advances in Signal Processing
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With the help of all these contributors, we have fulfilled our expectations, and hope that this special issue offers a considerable and timely contribution to the area of signal processing for interferometric ...
synthetic aperture radar. ...
System performance analysis and fuzzy signal processing are also tackled. ...
doi:10.1155/asp.2005.3175
fatcat:kqoszzg2kjahtfzusc7yo75qbq
Adaptive remote sensing with HF skywave radar
1992
IEE Proceedings F Radar and Signal Processing
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In concert with user-focused remote sensing programs, investigations were undertaken to gain a detailed understanding of issues relating to propagation, system calibration, radar resource management and ...
Early programs focused exclusively on military capabilities, such as the detection of aircraft, missiles and ships, but in 1974 a team was formed to design a new OTHR for which a remote sensing mission ...
Acknowledgments The Jindalee radars are the product of many talented scientists and engineers with whom the present author is proud to have been associated. ...
doi:10.1049/ip-f-2.1992.0022
fatcat:ys7fz5jbjrgfrf2qvxpohkvdoe
Capturing Data Uncertainty in High-Volume Stream Processing
[article]
2009
arXiv
pre-print
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We are currently working with a group of scientists to evaluate our system using traces collected from the domains of (and eventually in the real systems for) hazardous weather monitoring and object tracking ...
To efficiently quantify result uncertainty of a query operator, we explore a variety of techniques based on probability and statistical theory to compute the result distribution at stream speed. ...
ACKNOWLEDGMENTS This work has been supported in part by the National Science Foundation under the grants IIS-0746939 and IIS-0812347, and EEC-0313747. ...
arXiv:0909.1777v1
fatcat:mkknxviaybasxntbofxxdjcgwa
Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges
2022
Frontiers in Neuroscience
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Finally, we discuss the specific requirements and challenges for SNN-based radar processing on neuromorphic hardware. ...
Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light conditions. ...
Details on the chosen CFAR parameters are given in Supplementary Section 1.1. ...
doi:10.3389/fnins.2022.851774
pmid:35431782
pmcid:PMC9012531
fatcat:hejcc4cz2ndbbb4hbazycpxlju
Observing Ecohydrological Processes: Challenges and Perspectives
[chapter]
2019
Observation and Measurement of Ecohydrological Processes
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Full-band remote sensing from visible/infrared to microwave satellite sensors and ground-based weather radars are widely used in precipitation sensing and retrieval. ...
Applications of data assimilation to estimate the ecohydrologically relevant parameters and novel observational platforms and techniques are also introduced in detail. ...
doi:10.1007/978-3-662-48297-1_1
fatcat:irydzknmerhphnzhroefn7nlcq
Maximum likelihood methods in radar array signal processing
1998
Proceedings of the IEEE
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We consider robust and computationally efficient maximum likelihood algorithms for estimating the parameters of a radar target whose signal is observed by an array of sensors in interference with unknown ...
Two data models are described: one that uses the target direction of arrival and signal amplitude as parameters and one that is a simpler, unstructured model that uses a generic target "spatial signature ...
The parameter vector for this model will be denoted by and is defined on the domain . ...
doi:10.1109/5.659495
fatcat:xre3777uifckdfmzdld432lxk4
Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes
2021
Atmospheric Chemistry and Physics
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PROM is a coordinated interdisciplinary effort to increase the use of polarimetric radar observations in data assimilation, which requires a thorough evaluation and improvement of parameterizations of ...
While polarimetric radars potentially provide valuable in-cloud information on hydrometeor type, quantity, and microphysical cloud and precipitation processes, and atmospheric models employ increasingly ...
We gratefully acknowledge the funding of the German Research Foundation (DFG) to initialize the special priority programme on the Fusion of Radar Polarimetry and Atmospheric Modelling (SPP-2115, PROM). ...
doi:10.5194/acp-21-17291-2021
fatcat:kij4dzruqbc2fjiwmgxz7o6gvi
CFOSAT Rotating Fan‐beam Scatterometer Backscatter Measurement Processing
2021
Earth and Space Science
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Spaceborne wind scatterometry has become an increasing important tool in the effort to monitor the Earth's climate, forecast weather, and study ocean-atmosphere interaction (Ulaby et al., 1982 (Ulaby et ...
These rotating pencil beam scatterometer operate in Ku-band frequency. ...
., Ltd, Beijing, China for providing the technical requirements of satellite platform and details of on orbit work. ...
doi:10.1029/2021ea001969
fatcat:nhvgdzpm3jc4nl5jy7vzje6tia
Real-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models
2005
EURASIP Journal on Advances in Signal Processing
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The preprocessing is based on frequency-domain processing and performs ground-level alignment and background removal. The HMM detector is an improvement of a previously proposed system (baseline). ...
Our results indicate that, on average, the corrective training can improve the performance by about 10% for each site. For individual lanes, the performance gain can reach 50%. ...
ACKNOWLEDGMENTS The work reported on here was supported in part by the US-Army-Research-Office-funded Multidisciplinary Research on Mine Detection and Neutralization Systems, Contract no. ...
doi:10.1155/asp.2005.1867
fatcat:zqsiajicbfagbaqfoyrhvmslay
Very-High-Resolution Airborne Synthetic Aperture Radar Imaging: Signal Processing and Applications
2013
Proceedings of the IEEE
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In this paper, a review about the abilities and needs of today's very high-resolution airborne SAR sensors is given, based on and summarizing the longtime experience of the German Aerospace Center (DLR ...
| During the last decade, synthetic aperture radar (SAR) became an indispensable source of information in Earth observation. ...
If both clutter suppression and accurate parameter estimation are performed, at least a three-channel system will be required [113] . ...
doi:10.1109/jproc.2012.2220511
fatcat:rcfgf3agi5elha6pcjjyyzr7cu
Integrated Sensor Systems and Data Fusion for Homeland Protection
[chapter]
2014
Academic Press Library in Signal Processing: Volume 2 - Communications and Radar Signal Processing
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When the competence on tracking was so mature, it was collected in a brand new book on radar data processing [12, 13] , translated also in Russian and Chinese. ...
The former are based on numerical techniques, the latter ones are based on symbolic representation of information. ...
Graziano (SELEX Sistemi Integrati) for the continuous and fruitful cooperation on the many topics described in the Chapter for years. ...
doi:10.1016/b978-0-12-396500-4.00022-3
fatcat:gwnm3a2l5nh4dhheaxc7su5eni
A 35-GHz Polarimetric Doppler Radar for Long-Term Observations of Cloud Parameters—Description of System and Data Processing
2015
Journal of Atmospheric and Oceanic Technology
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The main purpose of the radar is to provide long-term datasets of cloud parameters for model evaluation, satellite validation, and climatological studies. ...
A 35-GHz radar has been operating at the Meteorological Observatory Lindenberg (Germany) since 2004, measuring cloud parameters continuously. ...
We thank Sven Voland and Sven-Olaf Körner of the Lindenberg Meteorological Observatory for taking care of the continuous operation of the radar. ...
doi:10.1175/jtech-d-14-00066.1
fatcat:ttha2pyptjhflcw75io6ysbxiu
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