5/4/2023 0 Comments Radar in motion![]() According to the radar slightly-moving target detection method based on the RLCAF, the advantages of an ambiguity function and the advantages of linear canonical transformation are combined, non-uniform velocity translational motion target signals or turning target signals can be flexibly matched and accumulated in a clutter background, the signal-to-clutter ratio is improved, range migration can be compensated through the extraction of a target observation value in a distance-slow-time plane, phase-coherent accumulation for a long time is completed, the detection capacity of radar to the slightly-moving target is improved, and therefore the radar slightly-moving target detection method based on the RLCAF is wide in applicability. The radar slightly-moving target detection method based on the RLCAF comprises the following steps that (1) demodulation and pulse pressure are conducted on a radar echo in the distance direction so that in-pulse accumulation can be completed (2) the type of a target to be detected is predicted, and parameters are initialized (3) the distance and Doppler migration are compensated through the RLCAF and signal energy of a slightly-moving target is accumulated (4) the parameters are traversed and searched, an RLCAF domain detection unit figure is established, and constant false-alarm detection is conducted (5) target moving parameters are estimated and moving trace points are output. Additionally, simulated radar is derived from numerical models, and the output may differ from human-derived forecasts. Click on the Layers menu in the bottom right of the radar to select radar options like Current Conditions, Storm. Interactive Future Radar Forecast Severe Weather Hurricane Spaghetti Models Chaser Cam Lightning Note: Radar products are designed for optimal performance on modern desktop and mobile browsers, such as Firefox and Chrome. The invention relates to a radar slightly-moving target detection method based on a Radon-linear canonical ambiguity function (RLCAF) and belongs to the technical field of radar signal processing and detection. Track rain, storms and weather wherever you are with our Interactive Radar. Satellite Radar Aircraft Recon GIS Data Analysis Tools Please Note: These images do not originate from the NHC website.
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