Radar signatures of furniture elements

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Through-the-wall radar (TTWR) systems designed for detecting, locating, and tracking humans are plagued by harsh clutter scenarios caused by the variety and abundance of furniture elements within the antenna's field of view. This paper investigates the signatures of indoor clutter using radar cross section (RCS) and linear depolarization ratios to implement clutter suppression algorithms. The paper focuses on the analysis of common individual and composite pieces of indoor clutter for TTWR. The characterization of the wideband spectral properties of indoor clutter elements is accomplished using finite-difference time-domain (FDTD) techniques. Using FDTD, the spectral characteristics of clutter elements are obtained over a wide range of frequencies, different polarizations, and aspect angles.We compare and contrast the RCS responses between the different objects for analysis and use in TTWR. RCS results obtained from the simulations are compared to experimental data using a network analyzer and reasonable agreement is obtained. Clutter signatures are also compared to those of humans in order to design appropriate waveforms for maximizing the signal-to-clutter ratio in TTWR systems.

Original languageEnglish (US)
Article number7073510
Pages (from-to)521-535
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume51
Issue number1
DOIs
StatePublished - Jan 1 2015

Fingerprint

Radar cross section
Radar
Radar systems
Electric network analyzers
Depolarization
Polarization
Antennas
Composite materials

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Cite this

@article{8cb239e47ccc4592a7970275c7d06e96,
title = "Radar signatures of furniture elements",
abstract = "Through-the-wall radar (TTWR) systems designed for detecting, locating, and tracking humans are plagued by harsh clutter scenarios caused by the variety and abundance of furniture elements within the antenna's field of view. This paper investigates the signatures of indoor clutter using radar cross section (RCS) and linear depolarization ratios to implement clutter suppression algorithms. The paper focuses on the analysis of common individual and composite pieces of indoor clutter for TTWR. The characterization of the wideband spectral properties of indoor clutter elements is accomplished using finite-difference time-domain (FDTD) techniques. Using FDTD, the spectral characteristics of clutter elements are obtained over a wide range of frequencies, different polarizations, and aspect angles.We compare and contrast the RCS responses between the different objects for analysis and use in TTWR. RCS results obtained from the simulations are compared to experimental data using a network analyzer and reasonable agreement is obtained. Clutter signatures are also compared to those of humans in order to design appropriate waveforms for maximizing the signal-to-clutter ratio in TTWR systems.",
author = "Bufler, {Travis Dale} and Narayanan, {Ram Mohan} and Traian Dogaru",
year = "2015",
month = "1",
day = "1",
doi = "10.1109/TAES.2014.140301",
language = "English (US)",
volume = "51",
pages = "521--535",
journal = "IEEE Transactions on Aerospace and Electronic Systems",
issn = "0018-9251",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

Radar signatures of furniture elements. / Bufler, Travis Dale; Narayanan, Ram Mohan; Dogaru, Traian.

In: IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, No. 1, 7073510, 01.01.2015, p. 521-535.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Radar signatures of furniture elements

AU - Bufler, Travis Dale

AU - Narayanan, Ram Mohan

AU - Dogaru, Traian

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Through-the-wall radar (TTWR) systems designed for detecting, locating, and tracking humans are plagued by harsh clutter scenarios caused by the variety and abundance of furniture elements within the antenna's field of view. This paper investigates the signatures of indoor clutter using radar cross section (RCS) and linear depolarization ratios to implement clutter suppression algorithms. The paper focuses on the analysis of common individual and composite pieces of indoor clutter for TTWR. The characterization of the wideband spectral properties of indoor clutter elements is accomplished using finite-difference time-domain (FDTD) techniques. Using FDTD, the spectral characteristics of clutter elements are obtained over a wide range of frequencies, different polarizations, and aspect angles.We compare and contrast the RCS responses between the different objects for analysis and use in TTWR. RCS results obtained from the simulations are compared to experimental data using a network analyzer and reasonable agreement is obtained. Clutter signatures are also compared to those of humans in order to design appropriate waveforms for maximizing the signal-to-clutter ratio in TTWR systems.

AB - Through-the-wall radar (TTWR) systems designed for detecting, locating, and tracking humans are plagued by harsh clutter scenarios caused by the variety and abundance of furniture elements within the antenna's field of view. This paper investigates the signatures of indoor clutter using radar cross section (RCS) and linear depolarization ratios to implement clutter suppression algorithms. The paper focuses on the analysis of common individual and composite pieces of indoor clutter for TTWR. The characterization of the wideband spectral properties of indoor clutter elements is accomplished using finite-difference time-domain (FDTD) techniques. Using FDTD, the spectral characteristics of clutter elements are obtained over a wide range of frequencies, different polarizations, and aspect angles.We compare and contrast the RCS responses between the different objects for analysis and use in TTWR. RCS results obtained from the simulations are compared to experimental data using a network analyzer and reasonable agreement is obtained. Clutter signatures are also compared to those of humans in order to design appropriate waveforms for maximizing the signal-to-clutter ratio in TTWR systems.

UR - http://www.scopus.com/inward/record.url?scp=84927629861&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927629861&partnerID=8YFLogxK

U2 - 10.1109/TAES.2014.140301

DO - 10.1109/TAES.2014.140301

M3 - Article

VL - 51

SP - 521

EP - 535

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

SN - 0018-9251

IS - 1

M1 - 7073510

ER -