Simple X-band polarimetric micro-Doppler analyses of ground moving targets

Rytel-Andrianik, Rafał; Samczyński, Piotr; Malanowski, Mateusz; Gromek, Artur; Gromek, Damian; Meta, Adriano; Corucci, Linda

doi:10.1109/sps.2015.7168301

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Björklund [13] used a 77 GHz radar in monostatic configuration to detect and classify the two persons' micro-Doppler signature moving in different ways and directions. Recently, full polarimetric radar data have been collected in the Ku-, Ka-and W-bands for the detection and classification of potential threats among people walking, running [14,15], or carrying something in their arms [16,17].…”

Section: Introductionmentioning

confidence: 99%

Measurements and Analysis of the Doppler Signature of a Human Moving within the Forest in UHF-Band

et al. 2021

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Measurements of the Doppler signature in UHF-band of a human moving in outdoor sites are presented in this paper. A radar campaign has been carried out, observing a subject walking and running outside, near and within a forest. A bistatic radar has been employed working in continuous wave (CW) at 1 GHz and 435 MHz. The spectrograms acquired in VV polarization are shown and discussed. This study aims to prove the feasibility of detecting people moving in forested areas at low frequencies. Besides, we highlight the impact of the frequencies and the different sites on the Doppler spectrum of the human motions. The Doppler frequency signature of the moving man has been well detected at 1 GHz and 435 MHz for each motor activity and scene. The working frequency 435 MHz has proved to be more efficient for the detection and classification of the physical activities.

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Section: Introductionmentioning

confidence: 99%

Measurements and Analysis of the Doppler Signature of a Human Moving within the Forest in UHF-Band

et al. 2021

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Experimental Analysis of Small Drone Polarimetry Based on Micro-Doppler Signature

Kim

Kang

Park

2017

IEEE Geosci. Remote Sensing Lett.

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Autoregressive Model Based Polarimetric Adaptive Detection Scheme Part I: Theoretical Derivation and Performance Analysis

Colone

Filippini

2020

IEEE Trans. Aerosp. Electron. Syst.

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This paper deals with the problem of target detection in coherent radar systems exploiting polarimetric diversity. We resort to a parametric approach and we model the disturbance affecting the data as a multi-channel autoregressive (AR) process. Following this model, a new polarimetric adaptive detector is derived, which aims at improving the target detection capability while relaxing the requirements on the training data size and the computational burden with respect to existing solutions. A complete theoretical characterization of the asymptotic performance of the derived detector is provided, using two different target fluctuation models. The effectiveness of the proposed approach is shown against simulated data, in comparison with alternative existing solutions.

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Simple X-band polarimetric micro-Doppler analyses of ground moving targets

Cited by 4 publications

References 2 publications

Measurements and Analysis of the Doppler Signature of a Human Moving within the Forest in UHF-Band

Measurements and Analysis of the Doppler Signature of a Human Moving within the Forest in UHF-Band

Experimental Analysis of Small Drone Polarimetry Based on Micro-Doppler Signature

Autoregressive Model Based Polarimetric Adaptive Detection Scheme Part I: Theoretical Derivation and Performance Analysis

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