Efficient adaptive filtering for rain clutter suppression

94 p.

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Main Author: Srikanth Nagisetty
Other Authors: Saman S Abeysekera
Format: Theses and Dissertations
Published: 2014
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Online Access:http://hdl.handle.net/10356/58088
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-580882023-07-04T16:04:15Z Efficient adaptive filtering for rain clutter suppression Srikanth Nagisetty Saman S Abeysekera School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 94 p. Doppler radar in GHz band is primarily used for short range detection of moving objects. A major difficulty in this type of radar is the presence of rain clutter under bad weather conditions. It contains returns of both the target and rain clutter. The robustness of detection heavily relies on target echo, and the rain echo. It is pointed out that rain, which can be treated as object in the atmosphere, will cause time spread of radar echo signals, and this will mask or weaken the returns from the nearby targets. This is, usually regarded as a noise, is known as the rain clutter. Radar systems assume the clutter is stationary with its energy concentrated at low frequencies, and the rain clutter environment is dynamic. Thus, a fixed high pass filter is used to filter out the clutter. This approach has major problem, (1) since rain clutter characteristics is dynamic in nature, where rain clutter characteristics (which is the main noise we are dealing) and the target signal is not fixed. So the designed HPF cannot be used for different environmental conditions. HPF in this regard, has not thus far showed appropriate and satisfactory performance due to its fixed bandwidth nature. This can be observed from the simulations performed in MATLAB environment using real radar rain data. Master of Science (Signal Processing) 2014-04-07T12:13:49Z 2014-04-07T12:13:49Z 2011 2011 Thesis http://hdl.handle.net/10356/58088 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Srikanth Nagisetty
Efficient adaptive filtering for rain clutter suppression
description 94 p.
author2 Saman S Abeysekera
author_facet Saman S Abeysekera
Srikanth Nagisetty
format Theses and Dissertations
author Srikanth Nagisetty
author_sort Srikanth Nagisetty
title Efficient adaptive filtering for rain clutter suppression
title_short Efficient adaptive filtering for rain clutter suppression
title_full Efficient adaptive filtering for rain clutter suppression
title_fullStr Efficient adaptive filtering for rain clutter suppression
title_full_unstemmed Efficient adaptive filtering for rain clutter suppression
title_sort efficient adaptive filtering for rain clutter suppression
publishDate 2014
url http://hdl.handle.net/10356/58088
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