VHF Cross-Range Profiling of Aerial Targets Via Passive ISAR: Signal Processing Schemes and Experimental Results

“…As (4) indicates, once the optimal values of the unknown parameters are obtained, modulation in the time domain can be carried out to compensate for the range shift:…”

Section: Estimating the Motion Parameters In The Sub-aperturesmentioning

confidence: 99%

Noise-Robust Range Alignment Method for Inverse Synthetic Aperture Radar Based on Aperture Segmentation and Average Range Profile Correlation

Yang²,

Zhang

2020

Preprint

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Range alignment is an essential procedure in the translation motion compensation of inverse synthetic aperture radar imaging. Global optimization or maximum-correlation-based algorithms have been used to realize range alignment. However, it is still challenging to achieve range alignment in low signal-to-noise ratio scenarios, which are common in inverse synthetic aperture radar imaging. In this paper, a novelanti-noise range alignment approach is proposed. In this new method, the target motion is modelled as a uniformly accelerated motion during a short sub-aperture time. Minimum entropy optimization is implemented to estimate the motion parameters in each sub-aperture. These estimated parameters can be used to align the profiles of the current sub-aperture. Once the range profiles of eachsub-aperture are aligned, the non-coherent accumulation gain is obtained by averaging all profiles in each sub-aperture, which can be used as valuable information. The accumulation and correlation method is applied to align the average range profiles of each sub-aperture because the former step focuses mainly on alignment within the sub-apertures. Experimental results based on simulated and real measured data demonstrate the effectiveness of the proposed algorithm in low signal-to-noise ratio scenarios.

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“…Several research efforts have been made to add passive ISAR capabilities to existing passive systems, mostly focusing on terrestrial transmitters of opportunity. FM signals have been considered in [4] for crossrange profiling of aerial targets, while in the framework of short-range/indoor applications, Wi-Fi-based passive ISAR processing and experimental results have been provided in [5] and [6]. However, most of the open literature focuses on terrestrial TV signals operating in the UHF/VHF-band, due to their widespread availability and relatively high transmitted power, being the digital video broadcasting-terrestrial (DVB-T) the most considered option as adopted by most of the countries [7]- [11].…”

Section: Introductionmentioning

confidence: 99%

DVB-S Based Passive Polarimetric ISAR—Methods and Experimental Validation

et al. 2021

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In this work, we focus on passive polarimetric ISAR for ship target imaging using DVB-S signals of opportunity. A first goal of the research is to investigate if, within the challenging passive environment, different scattering mechanisms, belonging to distinct parts of the imaged target, can be separated in the polarimetric domain. Furthermore, a second goal is at verifying if polarimetric diversity could enable the formation of ISAR products with enhanced quality with respect to the single channel case, particularly in terms of better reconstruction of the target shape. To this purpose, a dedicated trial has been conducted along the river Rhine in Germany by means of an experimental DVB-S based system developed at Fraunhofer FHR and considering a ferry as cooperative target. To avoid inaccuracies due to data-driven motion compensation procedures and to fairly interpret the polarimetric results, we processed the data by means of a known-motion backprojection algorithm obtaining ISAR images at each polarimetric channel. Then, different approaches in the polarimetric domain have been introduced. The first one is based on the well-known Pauli Decomposition. The others can be divided in two main groups: (i) techniques aimed at separating the different backscattering mechanisms, and (ii) image domain techniques to fuse the polarimetric information in a single ISAR image with enhanced quality. The different considered techniques have been applied to several data sets with distinct bistatic geometries. The obtained results clearly demonstrate the potentialities of polarimetric diversity that could be fruitfully exploited for classification purposes.

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VHF Cross-Range Profiling of Aerial Targets Via Passive ISAR: Signal Processing Schemes and Experimental Results

Cited by 18 publications

References 35 publications

A Hybrid Integration Method for Moving Target Detection With GNSS-Based Passive Radar

A Hybrid Integration Method for Moving Target Detection With GNSS-Based Passive Radar

Noise-Robust Range Alignment Method for Inverse Synthetic Aperture Radar Based on Aperture Segmentation and Average Range Profile Correlation

DVB-S Based Passive Polarimetric ISAR—Methods and Experimental Validation

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