Diversity gain for MIMO-OTH radar target detection under product of complex Gaussian reflections
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سال
: 2014شناسه الکترونیک: 10.1109/IGARSS.2014.6947031
کلیدواژه(گان): airborne radar,ecology,geophysical techniques,microorganisms,optical radar,radar polarimetry,airborne lidar,fish,general background scattering,horizontal distributions,physical ecosystem processes,phytoplankton,polarization filtering,trophic level interactions,vertical profiles,zooplankton,Ecosystems,Ice,Laser radar,Marine animals,Oceans,Remote sensing,Sea measurements,Lidar,fish,plankton,polarization,thin layers
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Diversity gain for MIMO-OTH radar target detection under product of complex Gaussian reflections
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contributor author | Qi Ding , Qian He , Zishu He , Blum, R.S. | |
date accessioned | 2020-03-12T23:23:38Z | |
date available | 2020-03-12T23:23:38Z | |
date issued | 2014 | |
identifier other | 6889332.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1109884?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Diversity gain for MIMO-OTH radar target detection under product of complex Gaussian reflections | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8278541 | |
subject keywords | airborne radar | |
subject keywords | ecology | |
subject keywords | geophysical techniques | |
subject keywords | microorganisms | |
subject keywords | optical radar | |
subject keywords | radar polarimetry | |
subject keywords | airborne lidar | |
subject keywords | fish | |
subject keywords | general background scattering | |
subject keywords | horizontal distributions | |
subject keywords | physical ecosystem processes | |
subject keywords | phytoplankton | |
subject keywords | polarization filtering | |
subject keywords | trophic level interactions | |
subject keywords | vertical profiles | |
subject keywords | zooplankton | |
subject keywords | Ecosystems | |
subject keywords | Ice | |
subject keywords | Laser radar | |
subject keywords | Marine animals | |
subject keywords | Oceans | |
subject keywords | Remote sensing | |
subject keywords | Sea measurements | |
subject keywords | Lidar | |
subject keywords | fish | |
subject keywords | plankton | |
subject keywords | polarization | |
subject keywords | thin layers | |
identifier doi | 10.1109/IGARSS.2014.6947031 | |
journal title | ignal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conferen | |
filesize | 534407 | |
citations | 0 |