Adaptive polarized waveform design for target tracking using electromagnetic vector sensors

Tong Zhao; Martin Hurtado; Arye Nehorai

doi:10.1109/ICASSP.2007.366436

Adaptive polarized waveform design for target tracking using electromagnetic vector sensors

Tong Zhao, Martin Hurtado, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

We develop an adaptive waveform design method for target tracking. In our method, at each time step, we optimally select the parameters, including the polarization, of the transmitted signal waveform to improve the tracking accuracy. An array of electromagnetic vector sensors is employed to fully recover the polarimetric information from the reflected signals. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method to manipulate the nonlinear and non-Gaussian state and measurement models. We design a criterion for the waveform optimization based on a posterior Cramér-Rao bound.

Original language	English
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Pages	II1117-II1120
DOIs	https://doi.org/10.1109/ICASSP.2007.366436
State	Published - 2007
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: Apr 15 2007 → Apr 20 2007

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
ISSN (Print)	1520-6149

Conference

Conference	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/Territory	United States
City	Honolulu, HI
Period	04/15/07 → 04/20/07

Keywords

Adaptive waveform design
Electromagnetic vector sensors
Sequential Bayesian filtering
Sequential Monte Carlo methods
Target tracking

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10.1109/ICASSP.2007.366436

Cite this

Zhao, T., Hurtado, M., & Nehorai, A. (2007). Adaptive polarized waveform design for target tracking using electromagnetic vector sensors. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. II1117-II1120). Article 4217609 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2). https://doi.org/10.1109/ICASSP.2007.366436

@inproceedings{b3b8a8bab24d484e8afbb10137b922a3,

title = "Adaptive polarized waveform design for target tracking using electromagnetic vector sensors",

abstract = "We develop an adaptive waveform design method for target tracking. In our method, at each time step, we optimally select the parameters, including the polarization, of the transmitted signal waveform to improve the tracking accuracy. An array of electromagnetic vector sensors is employed to fully recover the polarimetric information from the reflected signals. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method to manipulate the nonlinear and non-Gaussian state and measurement models. We design a criterion for the waveform optimization based on a posterior Cram{\'e}r-Rao bound.",

keywords = "Adaptive waveform design, Electromagnetic vector sensors, Sequential Bayesian filtering, Sequential Monte Carlo methods, Target tracking",

author = "Tong Zhao and Martin Hurtado and Arye Nehorai",

year = "2007",

doi = "10.1109/ICASSP.2007.366436",

language = "English",

isbn = "1424407281",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "II1117--II1120",

booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",

note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",

}

Zhao, T, Hurtado, M & Nehorai, A 2007, Adaptive polarized waveform design for target tracking using electromagnetic vector sensors. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07., 4217609, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, pp. II1117-II1120, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 04/15/07. https://doi.org/10.1109/ICASSP.2007.366436

Adaptive polarized waveform design for target tracking using electromagnetic vector sensors. / Zhao, Tong; Hurtado, Martin; Nehorai, Arye.
2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. II1117-II1120 4217609 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive polarized waveform design for target tracking using electromagnetic vector sensors

AU - Zhao, Tong

AU - Hurtado, Martin

AU - Nehorai, Arye

PY - 2007

Y1 - 2007

N2 - We develop an adaptive waveform design method for target tracking. In our method, at each time step, we optimally select the parameters, including the polarization, of the transmitted signal waveform to improve the tracking accuracy. An array of electromagnetic vector sensors is employed to fully recover the polarimetric information from the reflected signals. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method to manipulate the nonlinear and non-Gaussian state and measurement models. We design a criterion for the waveform optimization based on a posterior Cramér-Rao bound.

AB - We develop an adaptive waveform design method for target tracking. In our method, at each time step, we optimally select the parameters, including the polarization, of the transmitted signal waveform to improve the tracking accuracy. An array of electromagnetic vector sensors is employed to fully recover the polarimetric information from the reflected signals. We derive our approach under a framework of sequential Bayesian filtering. We apply a sequential Monte Carlo method to manipulate the nonlinear and non-Gaussian state and measurement models. We design a criterion for the waveform optimization based on a posterior Cramér-Rao bound.

KW - Adaptive waveform design

KW - Electromagnetic vector sensors

KW - Sequential Bayesian filtering

KW - Sequential Monte Carlo methods

KW - Target tracking

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U2 - 10.1109/ICASSP.2007.366436

DO - 10.1109/ICASSP.2007.366436

M3 - Conference contribution

AN - SCOPUS:34547513543

SN - 1424407281

SN - 9781424407286

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - II1117-II1120

BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

Y2 - 15 April 2007 through 20 April 2007

ER -

Zhao T, Hurtado M, Nehorai A. Adaptive polarized waveform design for target tracking using electromagnetic vector sensors. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. II1117-II1120. 4217609. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2007.366436

Adaptive polarized waveform design for target tracking using electromagnetic vector sensors

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