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 journalArticle

14 Citations (Scopus)

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 languageEnglish (US)
Article number4797880
Pages (from-to)363-367
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume6
Issue number3
DOIs
StatePublished - Jul 1 2009

Fingerprint

meteor
genetic algorithm
Parameter estimation
Radar
Genetic algorithms
radar
Deceleration
Fourier transform
Fourier transforms
fragmentation
cross section
scattering
Scattering
parameter estimation
speed

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

Cite this

@article{ad668e3de5454a2b9b038f7e65e54219,
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.}",
year = "2009",
month = "7",
day = "1",
doi = "10.1109/LGRS.2009.2013878",
language = "English (US)",
volume = "6",
pages = "363--367",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

Genetic-algorithm-based parameter estimation technique for fragmenting radar meteor head echoes. / Roy, Arnab; Briczinski, Stan J.; Doherty, John F.; Mathews, John D.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 6, No. 3, 4797880, 01.07.2009, p. 363-367.

Research output: Contribution to journalArticle

TY - JOUR

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.

PY - 2009/7/1

Y1 - 2009/7/1

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.

UR - http://www.scopus.com/inward/record.url?scp=67650172446&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650172446&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2009.2013878

DO - 10.1109/LGRS.2009.2013878

M3 - Article

AN - SCOPUS:67650172446

VL - 6

SP - 363

EP - 367

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 3

M1 - 4797880

ER -