Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes

Arnab Roy; Stan J. Briczinski; John F. Doherty; John D. Mathews

doi:10.1109/LGRS.2009.2013878

Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes

Arnab Roy, Stan J. Briczinski, John F. Doherty, John D. Mathews

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

Meteoroid fragmentation presents a serious problem for Doppler estimation using Fourier transform techniques. Radar returns from multiple closely spaced bodies traveling at nearly identical speeds result in an interference pattern which makes it difficult to estimate properties of individual bodies by traditional techniques. Here, we present a genetic-algorithm-based procedure to determine the properties of the individual fragments, such as relative scattering cross section, speed, and deceleration. The radar meteor observations presented here were made using the Poker Flat (Alaska) Incoherent Scatter Radar operating at 449.3 MHz.

Original language	English (US)
Article number	4797880
Pages (from-to)	363-367
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	6
Issue number	3
DOIs	https://doi.org/10.1109/LGRS.2009.2013878
State	Published - Jul 2009

All Science Journal Classification (ASJC) codes

Geotechnical Engineering and Engineering Geology
Electrical and Electronic Engineering

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10.1109/LGRS.2009.2013878

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title = "Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes",

abstract = "Meteoroid fragmentation presents a serious problem for Doppler estimation using Fourier transform techniques. Radar returns from multiple closely spaced bodies traveling at nearly identical speeds result in an interference pattern which makes it difficult to estimate properties of individual bodies by traditional techniques. Here, we present a genetic-algorithm-based procedure to determine the properties of the individual fragments, such as relative scattering cross section, speed, and deceleration. The radar meteor observations presented here were made using the Poker Flat (Alaska) Incoherent Scatter Radar operating at 449.3 MHz.",

author = "Arnab Roy and Briczinski, {Stan J.} and Doherty, {John F.} and Mathews, {John D.}",

note = "Funding Information: Manuscript received June 14, 2008; revised August 27, 2008 and December 4, 2008. First published March 4, 2009; current version published July 4, 2009. This work was supported by the National Science Foundation under Grant ITR/AP 04-27029.",

year = "2009",

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doi = "10.1109/LGRS.2009.2013878",

language = "English (US)",

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T1 - Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes

AU - Roy, Arnab

AU - Briczinski, Stan J.

AU - Doherty, John F.

AU - Mathews, John D.

N1 - Funding Information: Manuscript received June 14, 2008; revised August 27, 2008 and December 4, 2008. First published March 4, 2009; current version published July 4, 2009. This work was supported by the National Science Foundation under Grant ITR/AP 04-27029.

PY - 2009/7

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N2 - Meteoroid fragmentation presents a serious problem for Doppler estimation using Fourier transform techniques. Radar returns from multiple closely spaced bodies traveling at nearly identical speeds result in an interference pattern which makes it difficult to estimate properties of individual bodies by traditional techniques. Here, we present a genetic-algorithm-based procedure to determine the properties of the individual fragments, such as relative scattering cross section, speed, and deceleration. The radar meteor observations presented here were made using the Poker Flat (Alaska) Incoherent Scatter Radar operating at 449.3 MHz.

AB - Meteoroid fragmentation presents a serious problem for Doppler estimation using Fourier transform techniques. Radar returns from multiple closely spaced bodies traveling at nearly identical speeds result in an interference pattern which makes it difficult to estimate properties of individual bodies by traditional techniques. Here, we present a genetic-algorithm-based procedure to determine the properties of the individual fragments, such as relative scattering cross section, speed, and deceleration. The radar meteor observations presented here were made using the Poker Flat (Alaska) Incoherent Scatter Radar operating at 449.3 MHz.

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ER -

Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes

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