Role of polarisation in automatic target recognition using resonance descriptions

Shuley, N.V.; Longstaff, D.

doi:10.1049/el:20040170

Cited by 18 publications

(19 citation statements)

References 5 publications

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“…These NRFs are purely dependent on the physical properties of the target and are independent of both incident aspect and polarization state [1], [2]. The aspect and polarization independence nature allows these NRFs to be an excellent candidate for target classification.…”

Section: Introductionmentioning

confidence: 99%

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Resonance Based Target Recognition Using Ultrawideband Polarimetric Signatures

Lui

Shuley

2012

IEEE Trans. Antennas Propagat.

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Abstract-Automated target recognition based on resonances embedded in the ultrawideband transient signatures has been of significant research interest throughout the years. In most studies, targets are usually illuminated and measured using a linear polarized basis. This could lead to an incorrect result for target recognition as some resonant modes may not be well excited at that particular incident aspect and polarization state. In this communication, the possibility of using a full-polarimetric ultrawideband target signature is investigated. Target recognition of some simple wire targets using the extinction pulse technique demonstrate that it would be easier to fully excite all of the important resonances using a circular polarization basis with due consideration of the co-and cross-polarized target signatures.

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Section: Introductionmentioning

confidence: 99%

“…Recent work by Shuley et al [2] considered the polarization dependency of the NRFs. The results showed that the residues of the extracted NRFs vary as a function of the incident linear polarization angle.…”

Section: Introductionmentioning

confidence: 99%

Resonance Based Target Recognition Using Ultrawideband Polarimetric Signatures

Lui

Shuley

2012

IEEE Trans. Antennas Propagat.

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“…Furthermore, the full sets of CNRs depend only upon the target's geometry and composition [1], [6]. They are independent of the target's position or orientation to the radar [1], [7] and incident polarization states [1], [8]. These are appealing properties which have lead many researchers into using them as a feature set to characterize radar targets.…”

Section: Introductionmentioning

confidence: 99%

“…These are appealing properties which have lead many researchers into using them as a feature set to characterize radar targets. While the poles are mathematically aspect independent, their associated residues are angle dependent and thus will require more than one radar measurement to be made to collect a complete set of poles to correctly represent the target [8], [9]. The feasibility of using the CNRs for target classification has also been successfully demonstrated in the literature [7], [9], [11].…”

Section: Introductionmentioning

confidence: 99%

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Radar target identification based on complex natural resonances

Chen¹

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Automatic Passenger Detection in Safety Critical Mass Transit Environments

et al. 2013

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Enhancing user safety constitutes a major issue in railway transport. In this paper, a novel solution for detection and identification of objects falling on railway tracks is proposed. This solution is based on a system using a set of consecutive ultra wideband (UWB) monostatic radars fed by a common transmission line. The main objective of this work is to study the different radiofrequency and signal processing subsets in order to evaluate and validate the full system. A slotted waveguide operating in its fundamental mode is used as the common transmission line. Slots are periodically perforated in the waveguide to constitute the radars. An optimal bandwidth and constant radiation coverage along the track are then optimized. The singularity Expansion Method (SEM) is used to characterize the objects falling on railway tracks. Complex Natural Resonances are then computed or measured and stored in a library. They are used in a specific discrimination process. Using both numerical simulations and experimental results, the discrimination process shows that human bodies are well detected and distinguished as well as other objects typically found on platform (suitcases, bottles.. .).

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Role of polarisation in automatic target recognition using resonance descriptions

Cited by 18 publications

References 5 publications

Resonance Based Target Recognition Using Ultrawideband Polarimetric Signatures

Resonance Based Target Recognition Using Ultrawideband Polarimetric Signatures

Radar target identification based on complex natural resonances

Automatic Passenger Detection in Safety Critical Mass Transit Environments

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