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Radar networks performance analysis and topology optimization. / Ivashko, Inna.

2016. 115 p.

Research output: ThesisDissertation (TU Delft)

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@phdthesis{1a6dab8eebbd41a1bd5e866a9050fc68,
title = "Radar networks performance analysis and topology optimization",
abstract = "The ultimate goal of any sensing system is to build situation awareness. Existingsolutions for a single radar node that have to assure extended areas of coverage withhigh resolution measurements (in range, cross-range, and Doppler) are physicallycumbersome (large antenna size) and typically require large operational resources (hightransmit power, wide bandwidth and long integration time).Combining data from multiple spatially separated nodes located at several locationsoffers a possibility to use radars with low-cost omnidirectional antennas to cover wideareas and overcome operational limitations such as sector blockage due to landscape orhigh-rise buildings. Thus, performance of the complete system becomes dependent notonly on the parameters of a single radar node, but on the number of nodes and theirlocation (system topology) as well. A proper selection of both node-related (transmitpower, operational frequency and bandwidth, integration time, etc.) and system-related(node location, node cooperation) resources is an important design task, which formsthe major focus of this thesis.The first part of this dissertation is dedicated to the development of the radarnetwork performance assessment tool,while the second part provides the framework forradar network topology optimization. The potential accuracy of the target parametersestimation has been used for radar network performance assessment. The developedtool incorporates parameters of a single radar node as well as system parameters(positions of the nodes and their cooperation), evaluated using Cram{\'e}r-Rao lowerbound. Using the tools developed, performance of different types of radar networks havebeen studied and compared in this thesis. For the radar network topology optimizationseveral convex and greedy algorithms have been used, making the optimizationapproach versatile. Validation and performance comparison of the optimizationalgorithms have been performed in this thesis.The results obtained in this research can be used to evaluate the potentialperformance of radar networks for different applications and provide a solution to keyproblems of their topology design.",
keywords = "radar networks, convex optimization, greedy optimization, Cram{\'e}r-Rao lower bound, frame potential",
author = "Inna Ivashko",
year = "2016",
doi = "10.4233/uuid:1a6dab8e-ebbd-41a1-bd5e-866a9050fc68",
language = "English",
isbn = "978-94-6186-751-3",

}

RIS

TY - THES

T1 - Radar networks performance analysis and topology optimization

AU - Ivashko, Inna

PY - 2016

Y1 - 2016

N2 - The ultimate goal of any sensing system is to build situation awareness. Existingsolutions for a single radar node that have to assure extended areas of coverage withhigh resolution measurements (in range, cross-range, and Doppler) are physicallycumbersome (large antenna size) and typically require large operational resources (hightransmit power, wide bandwidth and long integration time).Combining data from multiple spatially separated nodes located at several locationsoffers a possibility to use radars with low-cost omnidirectional antennas to cover wideareas and overcome operational limitations such as sector blockage due to landscape orhigh-rise buildings. Thus, performance of the complete system becomes dependent notonly on the parameters of a single radar node, but on the number of nodes and theirlocation (system topology) as well. A proper selection of both node-related (transmitpower, operational frequency and bandwidth, integration time, etc.) and system-related(node location, node cooperation) resources is an important design task, which formsthe major focus of this thesis.The first part of this dissertation is dedicated to the development of the radarnetwork performance assessment tool,while the second part provides the framework forradar network topology optimization. The potential accuracy of the target parametersestimation has been used for radar network performance assessment. The developedtool incorporates parameters of a single radar node as well as system parameters(positions of the nodes and their cooperation), evaluated using Cramér-Rao lowerbound. Using the tools developed, performance of different types of radar networks havebeen studied and compared in this thesis. For the radar network topology optimizationseveral convex and greedy algorithms have been used, making the optimizationapproach versatile. Validation and performance comparison of the optimizationalgorithms have been performed in this thesis.The results obtained in this research can be used to evaluate the potentialperformance of radar networks for different applications and provide a solution to keyproblems of their topology design.

AB - The ultimate goal of any sensing system is to build situation awareness. Existingsolutions for a single radar node that have to assure extended areas of coverage withhigh resolution measurements (in range, cross-range, and Doppler) are physicallycumbersome (large antenna size) and typically require large operational resources (hightransmit power, wide bandwidth and long integration time).Combining data from multiple spatially separated nodes located at several locationsoffers a possibility to use radars with low-cost omnidirectional antennas to cover wideareas and overcome operational limitations such as sector blockage due to landscape orhigh-rise buildings. Thus, performance of the complete system becomes dependent notonly on the parameters of a single radar node, but on the number of nodes and theirlocation (system topology) as well. A proper selection of both node-related (transmitpower, operational frequency and bandwidth, integration time, etc.) and system-related(node location, node cooperation) resources is an important design task, which formsthe major focus of this thesis.The first part of this dissertation is dedicated to the development of the radarnetwork performance assessment tool,while the second part provides the framework forradar network topology optimization. The potential accuracy of the target parametersestimation has been used for radar network performance assessment. The developedtool incorporates parameters of a single radar node as well as system parameters(positions of the nodes and their cooperation), evaluated using Cramér-Rao lowerbound. Using the tools developed, performance of different types of radar networks havebeen studied and compared in this thesis. For the radar network topology optimizationseveral convex and greedy algorithms have been used, making the optimizationapproach versatile. Validation and performance comparison of the optimizationalgorithms have been performed in this thesis.The results obtained in this research can be used to evaluate the potentialperformance of radar networks for different applications and provide a solution to keyproblems of their topology design.

KW - radar networks

KW - convex optimization

KW - greedy optimization

KW - Cramér-Rao lower bound

KW - frame potential

UR - http://resolver.tudelft.nl/uuid:1a6dab8e-ebbd-41a1-bd5e-866a9050fc68

U2 - 10.4233/uuid:1a6dab8e-ebbd-41a1-bd5e-866a9050fc68

DO - 10.4233/uuid:1a6dab8e-ebbd-41a1-bd5e-866a9050fc68

M3 - Dissertation (TU Delft)

SN - 978-94-6186-751-3

ER -

ID: 9219893