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Detection and clutter suppression using fusion of conventional CFAR and two parameter CFAR

Authors: L. Donisha Greet; S. Harris;

Detection and clutter suppression using fusion of conventional CFAR and two parameter CFAR

Abstract

A sequence of radar images containing the target is collected using an avian radar system. Radar image is composed of complex background and the target (flying birds, aircrafts, missiles etc). The main objective is to detect the target using Fast Independent Component Analysis (Fast ICA). Fast ICA separates the background and target from the radar image. Constant False Alarm Rate (CFAR) determines the power threshold above which the return echoes have been originated from the target. Clutter suppression is done by Conventional CFAR segmentation method and Two parameter CFAR methods. A new scheme based on Fusion of Conventional CFAR and Two Parameter CFAR is adopted and an average detection of 85% is obtained. After fusion, the target is detected from the radar images.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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