Radar Target Recognition Based on Modified Characteristic Polarization States

Aldhubaib, Faisal; Shuley, N.V.

doi:10.1109/taes.2010.5595604

Cited by 30 publications

(17 citation statements)

References 27 publications

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“…Owing to the overlap of resonant frequencies, the resonant approach lacks the ability to know the quantity of eggs [14]. The polarimetric based approach uses the complex residues of the polarization independent natural poles [15]- [17], in which characteristic polarization states (CPSs) including the tilt angle, characteristic angle and ellipticity are evaluated under the illumination of different polarization states [15]. The number of eggs were found to be retrieved in terms of CPSs reported in [14], revealing that the quantity is proportional to the characteristic angle.…”

Section: Introductionmentioning

confidence: 99%

UWB Reactive Near Field Detection for Smart Packages: A Comprehensive Study Using Eggs

Brown

2017

IEEE Trans. Antennas Propagat.

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Abstract-Detection of packages or storage containers relies heavily on the use of radio frequency identification (RFID) tagging, though such technology provides no means to determine the quantity of items within them. This paper presents a comprehensive study of ultra wideband (UWB) detection in the reactive near field as a low cost, low power way of detecting solid items within a package to complement RFID. For proof of concept, egg boxes within a smart fridge are used as a chosen test case. Simulations and measurements are carried out to evaluate the filtering of the UWB impulse response from which it can resolve the quantity of eggs in a box, using an array of sensors either attached to the package or placed underneath. Correlation coefficients are derived as a metric of this filtering in a reactive near field detection scenario. The robustness of the approach is further evaluated by considering other food cluttered around and above the egg box. The results show smart packages which detect an item directly above the sensor are not affected by surrounding clutter.Index Terms -Reactive near field, ultra wideband (UWB), smart fridge, Internet of things (IoT), pulse filtering

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Section: Introductionmentioning

confidence: 99%

UWB Reactive Near Field Detection for Smart Packages: A Comprehensive Study Using Eggs

Brown

2017

IEEE Trans. Antennas Propagat.

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“…When identifying radar targets, researchers have used resonance based feature set [1][2][3][4], and sometime incorporated along a polarimetric feature to enhance performance [5][6][7][8][9][10][11][12]. As the target works as a polarization transformer, features such as symmetry, elongation and tilt that are related to the target shape can be deduced from the target characteristic polarization states (CPS).…”

Section: Introductionmentioning

confidence: 99%

Description of Radar Target Using Resonance Based Null Polarization

2016

IJSR

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Abstract:By the representation of the target transient response as a series of natural resonance modes, a target feature set based on the co-polarized null states of the modes is used to represent a radar target. This is done by incorporating the mode residue terms in a scattering matrix of quadrature polarization channels, and then bythe optimization (using the Lagrangian optimization procedure) of the received power (determined by the Kennaugh and Stokes formulism), the characteristic polarization state set of a mode is obtained. A 2D plane model is used to demonstrate the ability of this concept to convey a complex target physical attributes such as elongation, symmetry and tilt; the results showed that a feature set based on nulls states of the target modes is robust.

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“…Then RSSI fingerprints are collected to model each zone of the network, leading to a decentralized power map. Afterwards, in order to localize a given node, the power map is used with the NN algorithm to compute local position estimates, whose combination leads to a global estimate at each time step [2,6]. The collected accelerations [24,41] are then used to correct the global estimate using either the interval analysis [19,31,33], or the Kalman filter [5,16,21].…”

Section: Introductionmentioning

confidence: 99%

Decentralized localization using radio-fingerprints and accelerometer in WSNs

Xiaowei

Mourad-Chehade

Snoussi

2015

IEEE Trans. Aerosp. Electron. Syst.

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This paper considers the problem of decentralized localization in wireless sensor networks (WSNs). The problem is set by combining both radio-fingerprints and accelerometer information. It is then resolved in a decentralized manner where the surveillance area is divided into several zones equipped with calculators. The proposed algorithm consists of computing first estimates using received signal strength indicator (RSSI)-fingerprints, then correcting them using accelerometer information leading to more accurate estimates. Computations are performed using the interval analysis and the Kalman filter in a simulated environment.

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Radar Target Recognition Based on Modified Characteristic Polarization States

Cited by 30 publications

References 27 publications

UWB Reactive Near Field Detection for Smart Packages: A Comprehensive Study Using Eggs

UWB Reactive Near Field Detection for Smart Packages: A Comprehensive Study Using Eggs

Description of Radar Target Using Resonance Based Null Polarization

Decentralized localization using radio-fingerprints and accelerometer in WSNs

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