![]() ![]() A lot can happen between 0 and 5,000 feet and therefore the depiction of precipitation given by radar may differ some from what’s actually happening on the ground. Because of this phenomenon, the radar beam will only see precipitation falling through the mid levels of the atmosphere. To see this in action, imagine a circle (earth) with a straight line emanating from some point on the circle if you continue this line out into space, it will gradually get farther and farther from the circle. Because the earth is round and the radar beam is flat, the farther away from the radar tower the beam (energy) travels, the farther removed from the ground becomes. There is a notable constraint to radar data though. This is the highest resolution radar data available which enables you to see features such as sea breeze or outflow boundaries that standard resolution radar entirely misses. This data is gathered from over a hundred radar towers located across the US. Lake Murray, Ardmore OK (WeatherOK, USA).Lightning CG worldwide (since 2004) Plus.Base reflectivity (with archive since 1991).Radar & Lightning Radar & Lightning Radar.Forecast Ensemble Heatmaps (Up to 7 models, multiple runs, graph up to 46 days) Plus.Forecast Ensemble (Up to 7 models, multiple runs, graph up to 46 days).Forecast XL (Graph and table up to 10 days - choose your model).14 day forecast (ECMWF-IFS/EPS, graphs with ranges).Meteograms (Graph 3-5 days - choose your model).Weather overview (Next hours and days, 14 day forecast).Europa Finnish HD HARMONIE (3 days) new.Tropical cyclone tracks (ECMWF/Ensemble).Compare the performance of the proposed algorithm to standard time-frequency estimators applied to the same data sets. Apply the complex RPEM algorithm to synthesized ISAR data using the above simulator. Develop and extend a complex, recursive-in-time, time- frequency parameter estimator based on the recursive prediction error method (RPEM) using the underlying Gauss- Newton algorithms. Our goals for the continued effort are to: 1. This algorithm is easily extended to recursive solution and will probably become part of the overall recursive processing approach to solve the ISAR imaging problem. It should also be noted that we developed a batch minimum variance translational motion compensation (TMC) algorithm to estimate the radial components of target motion (see Section IV). We have achieved all of these goals during the Phase I of the project and plan to complete the overall development, application and comparison of the parametric approach to other time-frequency estimators (STFT, etc.) on our synthesized vehicular data sets during the next phase of funding. Initiate the development of the recursive algorithm. Apply the standard time-frequency short-term Fourier transform (STFT) estimator, initially to a synthesized data set and 4. Develop a parametric, recursive-in-time approach to the ISAR target imaging more » problem 3. Develop an ISAR stepped-frequency waveform (SFWF) radar simulator based on a point scatterer vehicular target model incorporating both translational and rotational motion 2. Our short term (Phase I) goals were to: 1. ![]() The primary objective of this research was aimed at developing an alternative time-frequency approach which is recursive-in-time to be applied to the Inverse Synthethic Aperture Radar (ISAR) imaging problem discussed subsequently. This report summarizes the work performed for the Office of the Chief of Naval Research (ONR) during the period of 1 September 1997 through 31 December 1997. (GA-ASI), an affiliate of privately-held General Atomics, is a leading manufacturer of Remotely Piloted Aircraft (RPA) systems, radars, and electro-optic and related mission systems, including the Predator/Gray Eagle-series and Lynx Multi-mode Radar. General Atomics Aeronautical Systems, Inc. (GA-ASI) Mission Systems under Cooperative Research and Development Agreement (CRADA) SC08/01749 between Sandia National Laboratories and GA-ASI. Acknowledgements This report was funded by General Atomics Aeronautical Systems, Inc. While the information herein is not new to more » the literature, its collection into a single report hopes to offer some value in reducing the 'seek time'. Ultimately, this leads to a characterization of parameters that offer optimum performance for the overall MWAS radar system. This report identifies and explores those characteristics and limits, and how they depend on hardware system parameters and environmental conditions. Proper design and operation of an airborne Maritime Wide Area Search (MWAS) radar requires an understanding of system performance characteristics and limitations, and furthermore understanding the trades amongst a large number of interdependent system parameters. One of the earliest applications for radar was to search for and find maritime vessels on the open sea. ![]()
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