52 research outputs found
Antenna Systems
This book offers an up-to-date and comprehensive review of modern antenna systems and their applications in the fields of contemporary wireless systems. It constitutes a useful resource of new material, including stochastic versus ray tracing wireless channel modeling for 5G and V2X applications and implantable devices. Chapters discuss modern metalens antennas in microwaves, terahertz, and optical domain. Moreover, the book presents new material on antenna arrays for 5G massive MIMO beamforming. Finally, it discusses new methods, devices, and technologies to enhance the performance of antenna systems
Optimization and Communication in UAV Networks
UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects
Abstracts on Radio Direction Finding (1899 - 1995)
The files on this record represent the various databases that originally composed the CD-ROM issue of "Abstracts on Radio Direction Finding" database, which is now part of the Dudley Knox Library's Abstracts and Selected Full Text Documents on Radio Direction Finding (1899 - 1995) Collection. (See Calhoun record https://calhoun.nps.edu/handle/10945/57364 for further information on this collection and the bibliography).
Due to issues of technological obsolescence preventing current and future audiences from accessing the bibliography, DKL exported and converted into the three files on this record the various databases contained in the CD-ROM.
The contents of these files are:
1) RDFA_CompleteBibliography_xls.zip [RDFA_CompleteBibliography.xls: Metadata for the complete bibliography, in Excel 97-2003 Workbook format; RDFA_Glossary.xls: Glossary of terms, in Excel 97-2003 Workbookformat; RDFA_Biographies.xls: Biographies of leading figures, in Excel 97-2003 Workbook format];
2) RDFA_CompleteBibliography_csv.zip [RDFA_CompleteBibliography.TXT: Metadata for the complete bibliography, in CSV format; RDFA_Glossary.TXT: Glossary of terms, in CSV format; RDFA_Biographies.TXT: Biographies of leading figures, in CSV format];
3) RDFA_CompleteBibliography.pdf: A human readable display of the bibliographic data, as a means of double-checking any possible deviations due to conversion
Antenna Designs for 5G/IoT and Space Applications
This book is intended to shed some light on recent advances in antenna design for these new emerging applications and identify further research areas in this exciting field of communications technologies. Considering the specificity of the operational environment, e.g., huge distance, moving support (satellite), huge temperature drift, small dimension with respect to the distance, etc, antennas, are the fundamental device allowing to maintain a constant interoperability between ground station and satellite, or different satellites. High gain, stable (in temperature, and time) performances, long lifecycle are some of the requirements that necessitates special attention with respect to standard designs. The chapters of this book discuss various aspects of the above-mentioned list presenting the view of the authors. Some of the contributors are working strictly in the field (space), so they have a very targeted view on the subjects, while others with a more academic background, proposes futuristic solutions. We hope that interested reader, will find a fertile source of information, that combined with their interest/background will allow efficiently exploiting the combination of these two perspectives
Advanced Radio Frequency Antennas for Modern Communication and Medical Systems
The main objective of this book is to present novel radio frequency (RF) antennas for 5G, IOT, and medical applications. The book is divided into four sections that present the main topics of radio frequency antennas. The rapid growth in development of cellular wireless communication systems over the last twenty years has resulted in most of world population owning smartphones, smart watches, I-pads, and other RF communication devices. Efficient compact wideband antennas are crucial in RF communication devices. This book presents information on planar antennas, cavity antennas, Vivaldi antennas, phased arrays, MIMO antennas, beamforming phased array reconfigurable Pabry-Perot cavity antennas, and time modulated linear array
Aeronautical engineering: A continuing bibliography with indexes (supplement 253)
This bibliography lists 637 reports, articles, and other documents introduced into the NASA scientific and technical information system in May, 1990. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics
Underwater & out of sight: towards ubiquity in underwater robotics
Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution September 2019.The Earth's oceans holds a wealth of information currently hidden from us. Effective measurement of its properties could provide a better understanding of our changing climate and insights into the creatures that inhabit its waters. Autonomous underwater vehicles (AUVs) hold the promise of penetrating the ocean environment and uncovering its mysteries; and progress in underwater
robotics research over the past three decades has resulted in vehicles that can navigate reliably and operate consistently, providing oceanographers with an additional tool for studying the ocean.
Unfortunately, the high cost of these vehicles has stifled the democratization of this technology. We believe that this is a consequence of two factors. Firstly, reliable navigation on conventional AUVs has been achieved through the use of a sophisticated sensor system, namely the Doppler velocity log (DVL)-aided inertial navigation system (INS), which drives up vehicle cost, power use and size. Secondly, deployment of these vehicles is expensive and unwieldy due to their complexity, size and cost, resulting in the need for specialized personnel for vehicle operation and maintenance.
The recent development of simpler, low-cost, miniature underwater robots provides a solution that mitigates both these factors; however, removing the expensive DVL-aided INS means that they perform poorly in terms of navigation accuracy. We address this by introducing a novel acoustic system that enables AUV self-localization without requiring a DVL-aided INS or on-board active acoustic transmitters. We term this approach Passive Inverted Ultra-Short Baseline (piUSBL) positioning. The system uses a single acoustic beacon and a time-synchronized, vehicle-mounted, passive receiver array to localize the vehicle relative to this beacon. Our approach has two unique advantages: first, a single beacon lowers cost and enables easy deployment;
second, a passive receiver allows the vehicle to be low-power, low-cost and small, and enables multi-vehicle scalability.
Providing this new generation of small and inexpensive vehicles with accurate navigation can potentially lower the cost of entry into underwater robotics research and further its widespread use for ocean science. We hope that these contributions in low-cost underwater navigation will enable the ubiquitous and coordinated use of robots to explore and understand the underwater
domain.This research was funded and supported by a number of sponsors; we gratefully acknowledge
them below.
Defense Advanced Research Projects Agency (DARPA) and SSC Pacific via Applied Physical
Sciences Corp. (APS) under contract number N66001-11-C-4115.
SSC Pacific via Applied Physical Sciences Corp. (APS) under award number
N66001-14-C-4031.
Air Force via Lincoln Laboratory under award number FA8721-05-C-0002.
Office of Naval Research (ONR) via University of California-San Diego under award number
N00014-13-1-0632.
Defense Advanced Research Projects Agency (DARPA) via Applied Physical Sciences
Corp. (APS) under award number HR0011-18-C-0008.
Office of Naval Research (ONR) under award number N00014-17-1-2474
The direction finder based on the passive multichannel detection of the electromagnetic signal
ΠΠ°ΡΠΈΠ²Π½ΠΎ ΠΎΠ΄ΡΠ΅ΡΠΈΠ²Π°ΡΠ΅ ΠΏΡΠ°Π²ΡΠ° Π΄ΠΎΠ»Π°Π·Π΅ΡΠ΅Π³ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΡΠΊΠΎΠ³ ΡΠ°Π»Π°ΡΠ° (passive direction
finding - DF) ΡΠ΅ ΡΠ΅Π΄Π½Π° ΠΎΠ΄ ΡΠ΅Ρ
Π½ΠΈΡΠΊΠΈΡ
Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π° ΡΡΠ°Π½Π΄Π°ΡΠ΄Π½ΠΎ ΠΏΡΠΈΠΌΠ΅ΡΠΈΠ²Π°Π½Π° Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΠΌ
ΡΠΈΠ²ΠΈΠ»Π½ΠΈΠΌ ΠΈ Π²ΠΎΡΠ½ΠΈΠΌ ΠΎΠ±Π»Π°ΡΡΠΈΠΌΠ°. Π’ΠΈΠΏΠΈΡΠ°Π½ ΠΏΡΠΈΠΌΠ΅Ρ ΡΡ ΠΏΠ°ΡΠΈΠ²Π½ΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ Π·Π° ΡΠ°Π½Ρ Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΡ
Π±ΠΎΡΠ±Π΅Π½Π΅ ΡΠ΅Ρ
Π½ΠΈΠΊΠ΅ ΠΊΠΎΡΠ° Π΅ΠΌΠΈΡΡΡΠ΅ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΡΠΊΠΎ Π·ΡΠ°ΡΠ΅ΡΠ΅, ΠΊΠ°ΠΎ ΡΡΠΎ ΡΡ Π»Π΅ΡΠ΅Π»ΠΈΡΠ΅ ΠΈΠ»ΠΈ ΠΏΠ»ΠΎΠ²ΠΈΠ»Π°
ΡΠ° Π°ΠΊΡΠΈΠ²ΠΈΡΠ°Π½ΠΈΠΌ ΡΠ°Π΄Π°ΡΠΈΠΌΠ°. Π£ ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠΈΠ²ΠΈΠ»Π½Π΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅, ΡΠΏΠΎΡΡΠ΅Π±Π° DF-Π° ΡΠ΅ ΠΌΠ½ΠΎΠ³ΠΎ
ΡΠ°Π·Π½ΠΎΠ²ΡΡΠ½ΠΈΡΠ° ΠΈ ΠΌΠ°ΡΠΎΠ²Π½ΠΈΡΠ°, ΠΏΠ° ΡΠ΅ ΡΠ°ΠΊΠ²ΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΡΡΠΈΠ½ΡΠΊΠΈ ΠΊΠΎΡΠΈΡΡΠ΅ Ρ ΡΠ²ΡΡ
Ρ Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠ΅
ΠΏΠΎΠΊΡΠ΅ΡΠ½ΠΈΡ
ΠΈ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΈΡ
ΠΈΠ·Π²ΠΎΡΠ° Π·ΡΠ°ΡΠ΅ΡΠ°, ΠΏΡΠ΅ΠΏΠΎΠ·Π½Π°Π²Π°ΡΠ° ΠΈ ΠΎΡΠΊΠ»Π°ΡΠ°ΡΠ° ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠ΅ Ρ
ΡΠ°Π΄ΠΈΠΎ-Π²Π΅Π·Π°ΠΌΠ°, Π»ΠΎΡΠΈΡΠ°ΡΡ Π½Π΅Π°ΡΡΠΎΡΠΈΠ·ΠΎΠ²Π°Π½ΠΈΡ
ΠΏΡΠ΅Π΄Π°ΡΠ½ΠΈΠΊΠ°, Ρ ΡΠΈΠ³ΡΡΠ½ΠΎΡΠ½ΠΈΠΌ ΠΈ Π±Π΅Π·Π±Π΅Π΄Π½ΠΎΡΠ½ΠΈΠΌ
ΡΠ΅ΡΠ²ΠΈΡΠΈΠΌΠ°, ΠΈΡΠ΄.
ΠΠ±ΠΎΠ³ ΡΠΈΡΠΎΠΊΠ΅ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅, DF ΡΠΈΡΡΠ΅ΠΌΠΈ ΠΌΠΎΠ³Ρ Π±ΠΈΡΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΡ
ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°, ΠΊΠ°ΠΎ
ΡΡΠΎ ΡΡ: Π°) ΠΏΠΎΡΡΠ°Π±ΠΈΠ»Π½ΠΎΡΡ β ΠΌΠΎΠ³ΡΡΠ½ΠΎΡΡ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡΠ΅ ΡΡΠ΅ΡΠ°ΡΠ° Ρ ΠΌΠ°Π»Π΅ ΠΏΡΠ΅Π½ΠΎΡΠΈΠ²Π΅ ΡΠΈΡΡΠ΅ΠΌΠ΅, ΠΈΠ»ΠΈ
ΠΌΠ°Π»Π΅ ΠΏΠΎΠΊΡΠ΅ΡΠ½Π΅ ΡΠΈΡΡΠ΅ΠΌΠ΅ (Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½Π° Π»Π΅ΡΠ΅Π»ΠΈΡΠ°, Π»Π°ΠΊΠΎ ΡΠ΅ΡΠ΅Π½ΡΠΊΠΎ Π²ΠΎΠ·ΠΈΠ»ΠΎ, ΠΏΠ°ΡΡΠΎΠ»Π½ΠΈ ΡΠ°ΠΌΠ°Ρ, ΠΈ Π΄Ρ.);
Π±) ΡΠ°Π΄ Ρ ΡΠ΅Π°Π»Π½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½Ρ; Π²) Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠ° Π·ΡΠ°ΡΠ΅ΡΠ° Π½Π° Π²ΠΈΡΠ΅ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΡΠΊΠΈΡ
ΠΊΠ°Π½Π°Π»Π°, ΠΈΡΠ΄. ΠΠ° Π±ΠΈ
ΡΠ΅ ΠΈΡΠΏΡΠ½ΠΈΠ»ΠΈ ΡΠ°ΠΊΠΎ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΈ Π·Π°Ρ
ΡΠ΅Π²ΠΈ, ΠΏΠΎΡΡΠ΅Π±Π½ΠΎ ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΡΠΊΠΈ ΠΏΡΠΈΡΡΡΠΏΠΈΡΠΈ Π΄ΠΈΠ·Π°ΡΠ½Ρ, ΡΡΠΎ ΡΠ΅
Π³Π»Π°Π²Π½Π° ΡΠ΅ΠΌΠ° Π΄ΠΎΠΊΡΠΎΡΡΠΊΠ΅ Π΄ΠΈΡΠ΅ΡΡΠ°ΡΠΈΡΠ΅.
ΠΠ°ΠΊΠΎ ΡΠ΅ Π·Π° Π°ΠΊΠ²ΠΈΠ·ΠΈΡΠΈΡΡ Π±ΠΈΠ»ΠΎ ΠΊΠΎΡΠ΅ ΡΠΈΠ·ΠΈΡΠΊΠ΅ Π²Π΅Π»ΠΈΡΠΈΠ½Π΅ ΠΏΠΎΡΡΠ΅Π±Π°Π½ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠΈ ΡΠ΅Π½Π·ΠΎΡ,
Π°ΠΊΠ²ΠΈΠ·ΠΈΡΠΈΡΠ° Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΡΠΊΠΈΡ
ΡΠ°Π»Π°ΡΠ°, ΠΏΠΎΡΡΠΈΠΆΠ΅ ΡΠ΅ ΡΠΏΠΎΡΡΠ΅Π±ΠΎΠΌ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠΈΡ
Π°Π½ΡΠ΅Π½Π°, ΠΊΠΎΡΠ΅ ΡΡ
Ρ DF ΡΠ΅Ρ
Π½ΠΈΠΊΠ°ΠΌΠ° ΡΠΈΠΏΠΈΡΠ½ΠΎ ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠ°Π½Π΅ Ρ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠΈ Π°Π½ΡΠ΅Π½ΡΠΊΠΈ Π½ΠΈΠ·. ΠΠ° ΠΏΡΠΈΠΌΠ΅Π½Ρ Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½Ρ
Ρ Π΄ΠΈΡΠ΅ΡΡΠ°ΡΠΈΡΠΈ, ΠΏΠΎΡΡΠΎΡΠΈ Π²ΠΈΡΠ΅ ΡΠΈΠΏΠΎΠ²Π° ΠΏΠΎΠ³ΠΎΠ΄Π½ΠΈΡ
Π°Π½ΡΠ΅Π½Π°. Π‘Π° ΡΠΈΡΠ΅ΠΌ ΡΠ΅Π»Π΅ΠΊΡΠΈΡΠ΅ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠ΅
Π°Π½ΡΠ΅Π½Π΅ Π½Π°ΠΏΡΠ°Π²ΡΠ΅Π½ ΡΠ΅ ΠΏΡΠ΅Π³Π»Π΅Π΄ Π½Π°ΡΠΏΠΎΠ³ΠΎΠ΄Π½ΠΈΡΠ΅ ΠΊΠ»Π°ΡΠ΅ Π°Π½ΡΠ΅Π½Π° β Π°Π½ΡΠ΅Π½Π΅ Ρ
ΠΎΡΠ½ ΡΠΈΠΏΠ°, ΠΈ Π·Π°ΠΊΡΡΡΠ΅Π½ΠΎ ΡΠ΅
Π΄Π° ΡΠ΅ ΠΏΠΈΡΠ°ΠΌΠΈΠ΄Π°Π»Π½ΠΈ Ρ
ΠΎΡΠ½ Π½Π°ΡΠ±ΠΎΡΠ΅ ΡΠ΅ΡΠ΅ΡΠ΅.
Π¦ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΏΡΠΎΡΠ΅ΡΠΈΡΠ°ΡΠ° ΡΠΈΠ³Π½Π°Π»Π° Π΄ΠΎΠ±ΠΈΡΠ΅Π½ΠΈΡ
ΡΠ° Π°Π½ΡΠ΅Π½ΡΠΊΠΎΠ³ Π½ΠΈΠ·Π° ΠΊΠ°ΠΎ ΡΠ΅Π½Π·ΠΎΡΠ° ΡΠ΅
ΠΎΠ΄ΡΠ΅ΡΠΈΠ²Π°ΡΠ΅ ΠΏΡΠ°Π²ΡΠ° Π΄ΠΎΠ»Π°Π·Π΅ΡΠ΅Π³ Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΡΠΊΠΎΠ³ ΡΠΈΠ³Π½Π°Π»Π°. ΠΠΎΠ³Ρ Π΄Π° Π±ΡΠ΄Ρ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π΅
ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΠΌ ΡΠΈΠΏΠΎΠ²ΠΈΠΌΠ° Π°Π»Π³ΠΎΡΠΈΡΠ°ΠΌΠ°, ΠΏΠ° ΡΠ΅ ΡΡ
ΠΎΠ΄Π½ΠΎ ΡΠΎΠΌΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΌΠ΅ΡΡΡΠΎΠ±Π½ΠΎ ΠΈ ΡΠ°Π·Π»ΠΈΠΊΡΡΡ. ΠΠ°ΠΊΠΎ
ΠΏΠΎΡΡΠΎΡΠ΅ ΡΡΠΏΠ΅Ρ-ΡΠ΅Π·ΠΎΠ»ΡΡΠΈΠΎΠ½Π΅ ΡΠ΅Ρ
Π½ΠΈΠΊΠ΅ ΠΊΠΎΡΠ΅ Π΄Π°ΡΡ Π½Π°ΡΠ±ΠΎΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠ΅ ΠΏΠΎ ΠΏΠΈΡΠ°ΡΡ ΡΠ΅Π·ΠΎΠ»ΡΡΠΈΡΠ΅, ΠΎΠ½Π΅
Π½ΠΈΡΡ Π΅ΡΠΈΠΊΠ°ΡΠ½Π΅ ΠΈ ΠΏΠΎΠ³ΠΎΠ΄Π½Π΅ Π·Π° ΡΠ°Π΄ Ρ ΠΏΠΎΡΡΠ°Π±ΠΈΠ»Π½ΠΈΠΌ ΡΠΈΡΡΠ΅ΠΌΠΈΠΌΠ°, ΡΠ°ΠΊΠΎ Π΄Π° ΡΠ΅ Π·Π° Π΄ΠΈΠ·Π°ΡΠ½ ΠΎΠ΄Π°Π±ΡΠ°Π½Π°
ΡΠ΅Π΄Π½Π° ΠΎΠ΄ ΠΊΠ»Π°ΡΠΈΡΠ½ΠΈΡ
ΡΠ΅Ρ
Π½ΠΈΠΊΠ° Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄ΡΠΊΠΎΠ³ ΡΠΈΠΏΠ°. ΠΠ½Π°Π»ΠΈΠ·ΠΈΡΠ°Π½Π΅ ΡΡ ΠΎΡΠ½ΠΎΠ²Π½Π΅ ΡΠ΅Ρ
Π½ΠΈΠΊΠ΅
Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄ΡΠΊΠΎΠ³ ΡΠΈΠΏΠ° ΠΈ ΠΎΠ΄Π°Π±ΡΠ°Π½Π° ΡΠ΅ Π½Π°ΡΠΏΠΎΠ³ΠΎΠ΄Π½ΠΈΡΠ° ΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΠ° Π΅ΡΠΈΠΊΠ°ΡΠ½ΠΎΡΡΠΈ Ρ
Π°ΡΠ΄Π²Π΅ΡΡΠΊΠ΅ ΠΈ
ΡΠΎΡΡΠ²Π΅ΡΡΠΊΠ΅ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡΠ΅, ΠΊΠ°ΠΎ ΠΈ ΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΠ° ΡΠ²Π΅Π΄Π΅Π½ΠΎΠ³ ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΠ° β Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄ΡΠΊΠΎΠ³
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠΊΠΎΠ³ ΠΎΠΏΡΠ΅Π³Π°.
ΠΠ΄ΡΠ΅ΡΠΈΠ²Π°ΡΠ΅ ΠΏΡΠ°Π²ΡΠ° Π΅Π»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΡΠΊΠΎΠ³ ΡΠΈΠ³Π½Π°Π»Π° ΠΈΠ· ΡΠ΅Π΄Π½ΠΎΠ³ ΠΈΠ·Π²ΠΎΡΠ°, ΡΠΊΠΎΠ»ΠΈΠΊΠΎ Π½Π΅ΠΌΠ° Π΄ΠΎΠ΄Π°ΡΠ½ΠΈΡ
Π½Π°ΡΡΡΠ°Π²Π°ΡΡΡΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠ°, ΡΠ΅Π»Π°ΡΠΈΠ²Π½ΠΎ ΡΠ΅ Π»Π°ΠΊΠΎ ΡΠ΅ΡΠΈΠ² ΠΏΡΠΎΠ±Π»Π΅ΠΌ. ΠΠ·Π±ΠΈΡΠ°Π½ ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π½Π°ΡΡΠ°ΡΠ΅ ΠΊΠ°Π΄Π°
ΡΠ΅ ΡΠ°Π΄ΠΈ ΠΎ Π²ΠΈΡΠ΅ ΠΈΠ·Π²ΠΎΡΠ° ΠΈ ΠΊΠΎΡΠΈ ΡΡ ΠΏΡΠΈ ΡΠΎΠΌ ΡΠΈΠ·ΠΈΡΠΊΠΈ Π±Π»ΠΈΡΠΊΠΈ, ΠΏΠ° ΠΎΠ΄ΡΠ΅ΡΠΈΠ²Π°ΡΠ° ΠΏΡΠ°Π²ΡΠ° Π·Π° ΡΠ²Π°ΠΊΠΈ ΠΎΠ΄
ΡΠΈΡ
ΠΌΠΎΠΆΠ΅ Π΄Π° Π±ΡΠ΄Π΅ Ρ ΠΎΠΏΡΡΠ΅ΠΌ ΡΠ»ΡΡΠ°ΡΡ Π½Π΅ΡΠ΅ΡΠΈΠ². Π‘ΡΠΏΠ΅Ρ-ΡΠ΅Π·ΠΎΠ»ΡΡΠΈΠΎΠ½ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈ, ΡΡΠ΄Π΅ΡΠΈ ΠΏΡΠ΅ΠΌΠ°
Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠΈ, ΠΌΠΎΠ³Ρ Π΄Π° ΡΠ΅ΡΠ΅ ΡΠ°Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌ Ρ Π²Π΅Π»ΠΈΠΊΠΎΠΌ Π±ΡΠΎΡΡ ΡΠ»ΡΡΠ°ΡΠ΅Π²Π°, Π°Π»ΠΈ ΠΏΠΎ ΡΠ΅Π½Ρ Π±ΡΠ·ΠΈΠ½Π΅,
Π²Π΅Π»ΠΈΡΠΈΠ½Π΅ ΠΎΠΏΡΠ΅ΠΌΠ΅, ΠΏΠΎΡΡΠΎΡΡΠ΅ Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅, ΠΈΡΠ΄. ΠΠΊΠΎ ΡΠ΅ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎ ΠΏΠΎΡΡΠ°Π±ΠΈΠ»Π½ΠΎ ΡΠ΅ΡΠ΅ΡΠ΅ ΠΎΠ½Π΄Π° ΡΠ΅ ΡΠ°Ρ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ Ρ ΠΎΡΠ½ΠΎΠ²ΠΈ Π½Π΅ΡΠ΅ΡΠΈΠ². Π£ ΠΏΡΠ°ΠΊΡΠΈ, ΡΠΈΠ·ΠΈΡΠΊΠΈ Π±Π»ΠΈΡΠΊΠΈ ΠΈΠ·Π²ΠΎΡΠΈ Π΅ΠΌΠΈΡΡΡΡ Π·ΡΠ°ΡΠ΅ΡΠ΅ Π½Π°
ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΠΌ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΡΠΊΠΈΠΌ ΠΊΠ°Π½Π°Π»ΠΈΠΌΠ°, ΠΏΠ° ΡΠ΅ ΡΡΠΊΡΠ΅ΡΠΈΠ²Π½ΠΎΠΌ Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠΎΠΌ ΠΏΠΎ ΡΠ²Π°ΠΊΠΎΠΌ ΠΊΠ°Π½Π°Π»Ρ
ΠΌΠΎΠ³ΡΡΠ΅ Π΄Π΅ΡΠ΅ΠΊΡΠΎΠ²Π°ΡΠΈ ΠΈ ΡΠ²Π΅ ΡΠ°ΠΊΠ²Π΅ ΠΈΠ·Π²ΠΎΡΠ΅. Π’Π°ΠΊΠ°Π² ΠΏΠΎΡΡΡΠΏΠ°ΠΊ ΡΠ΅ Π½Π°Π·Π²Π°Π½ Π²ΠΈΡΠ΅ΠΊΠ°Π½Π°Π»Π½Π° Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠ°.
ΠΠΎΡΡΠΎ ΡΠ΅ Π°Π½ΡΠ΅Π½ΡΠΊΠΈ Π½ΠΈΠ· ΠΊΠ°ΠΎ ΡΠ΅Π½Π·ΠΎΡ ΠΊΠΎΡΠΈΡΡΠΈ Π½Π° Π²ΠΈΡΠ΅ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΠ°, ΡΠ΅Π³ΠΎΠ²Π΅ ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ΅
Π½ΠΈΡΡ ΠΈΡΡΠ΅ Π·Π° ΡΠ²Π°ΠΊΠΈ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΡΠΊΠΈ ΠΊΠ°Π½Π°Π». Π£Π· ΡΠΎ Π΅Π»Π΅ΠΌΠ΅Π½ΡΠΈ Π°Π½ΡΠ΅Π½ΡΠΊΠΎΠ³ Π½ΠΈΠ·Π°, Ρ ΠΎΠΏΡΡΠ΅ΠΌ ΡΠ»ΡΡΠ°ΡΡ,
Π½Π΅ΠΌΠ°ΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠ½Π΅ ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ΅, Π±Π΅Π· ΠΎΠ±Π·ΠΈΡΠ° Π½Π° ΠΈΡΡΡ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΡ. ΠΠ±ΠΎΠ³ ΡΠΎΠ³Π° ΡΠ΅ Ρ Π΄ΠΈΡΠ΅ΡΡΠ°ΡΠΈΡΠΈ
ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΡΡΡΠΏΠ°ΠΊ ΠΊΠ°Π»ΠΈΠ±ΡΠ°ΡΠΈΡΠ΅ ΠΏΠΎ ΡΠ²ΠΈΠΌ Π°Π½ΡΠ΅Π½Π°ΠΌΠ°, ΠΈ ΠΏΠΎ ΡΠ²ΠΈΠΌ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΡΠΊΠΈΠΌ ΠΊΠ°Π½Π°Π»ΠΈΠΌΠ°,
ΠΊΠ°ΠΎ ΠΈ ΡΠΎΡΠΌΠΈΡΠ°ΡΠ΅ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠ΅ ΡΠ°Π±Π΅Π»Π΅ ΠΏΡΠ΅ΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° ΠΊΠΎΡΠ° ΠΎΠΌΠΎΠ³ΡΡΡΡΠ΅ ΠΊΠ°ΡΠ½ΠΈΡΠ΅ Π±ΡΠ·ΠΎ
ΠΏΡΠΎΡΠ΅ΡΠΈΡΠ°ΡΠ΅ ΠΏΠΎΠ΄Π°ΡΠ°ΠΊΠ°.
Π’Π΅ΠΎΡΠ΅ΡΡΠΊΠΈ, Π·Π° Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½Ρ ΠΏΡΠΈΠΌΠ΅Π½Ρ, ΡΠ²Π°ΠΊΠΈ ΡΠΈΡΠΊΡΠ»Π°ΡΠ½ΠΈ Π°Π½ΡΠ΅Π½ΡΠΊΠΈ Π½ΠΈΠ· ΡΠ° ΡΡΠΌΠ΅ΡΠ΅Π½ΠΈΠΌ
Π°Π½ΡΠ΅Π½Π°ΠΌΠ° ΠΏΡΠΈΠ»Π°Π³ΠΎΡΠ΅Π½ΠΈΠΌ Π·Π° Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½ΠΈ ΡΡΠ΅ΠΊΠ²Π΅Π½ΡΠΈΡΡΠΊΠΈ ΠΎΠΏΡΠ΅Π³, ΠΌΠΎΠ³Π°ΠΎ Π±ΠΈ Π΄Π° ΠΏΠΎΡΠ»ΡΠΆΠΈ ΡΠ²ΡΡΠΈ.
ΠΠ΅ΡΡΡΠΈΠΌ ΠΊΠ°ΠΊΠΎ ΡΠ΅ Ρ ΠΏΠΈΡΠ°ΡΡ ΠΏΠΎΡΡΠ°Π±ΠΈΠ»Π½Π° ΠΏΡΠΈΠΌΠ΅Π½Π°, ΡΠΈΡ ΡΠ΅ ΡΠΊΠ»Π°ΠΏΠ°ΡΠ΅ Ρ Π·Π°Π΄Π°ΡΠ΅ Π΄ΠΈΠΌΠ΅Π½Π·ΠΈΡΠ΅,
ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΡΠ° Π³Π°Π±Π°ΡΠΈΡΠ° ΠΈ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΠ³ Π±ΡΠΎΡΠ° Π΅Π»Π΅ΠΌΠ΅Π½ΡΠ° Π°Π½ΡΠ΅Π½ΡΠΊΠΎΠ³ Π½ΠΈΠ·Π°. ΠΠ±ΠΎΠ³ ΡΠΎΠ³Π° ΡΠ΅
Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½Π° ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»Π½Π° ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ° ΠΏΡΠΎΡΠ΅ΠΊΡΠΎΠ²Π°ΡΠ° ΠΏΠΈΡΠ°ΠΌΠΈΠ΄Π°Π»Π½ΠΈΡ
Ρ
ΠΎΡΠ½ Π°Π½ΡΠ΅Π½Π°, ΠΊΠΎΡΠ°
ΡΠ΅Π΄Π΅ΡΠΈΠ½ΠΈΡΠ΅ ΡΡΠ°Π½Π΄Π°ΡΠ΄Π½ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌ ΠΎΠΏΡΠΈΠΌΠ°Π»Π½ΠΎΡΡΠΈ, ΠΈ ΡΠ²ΠΎΠ΄ΠΈ Π΄ΠΎΠ΄Π°ΡΠ½Π΅ ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΠ΅ ΠΊΠΎΡΠΈ
ΠΎΠΏΡΠΈΠΌΠΈΠ·ΡΡΡ ΡΠ°ΠΌΠ΅ Π°Π½ΡΠ΅Π½Π΅ ΠΏΠΎ ΠΏΠΈΡΠ°ΡΡ Π΅Π»Π΅ΠΊΡΡΠΈΡΠ½ΠΈΡ
ΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠΊΠΈΡ
ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°, ΠΊΠ°ΠΎ ΠΈ
ΠΊΠΎΠΌΠΏΠ»Π΅ΡΠ°Π½ Π°Π½ΡΠ΅Π½ΡΠΊΠΈ Π½ΠΈΠ· ΠΏΠΎ ΠΏΠΈΡΠ°ΡΡ Π±ΡΠΎΡΠ° ΡΠΏΠΎΡΡΠ΅Π±ΡΠ΅Π½ΠΈΡ
Π΅Π»Π΅ΠΌΠ΅Π½ΡΠ°.
ΠΠΎΠΌΠΏΠ»Π΅ΡΠ°Π½ DF ΡΠΈΡΡΠ΅ΠΌ ΡΠ΅ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ ΠΏΡΠΈΠΌΠ΅Π½ΠΎΠΌ ΡΠ°Π²ΡΠ΅ΠΌΠ΅Π½Π΅ Π°Π½Π°Π»ΠΎΠ³Π½ΠΎ-Π΄ΠΈΠ³ΠΈΡΠ°Π»Π½Π΅
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ ΠΏΡΠΎΡΠ΅ΠΊΡΠΎΠ²Π°ΡΠ° Π΅Π»Π΅ΠΊΡΡΠΎΠ½ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌΠ°, ΠΊΠ°ΠΎ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΠΎΠΌ ΡΠΎΠ±ΡΡΠ½ΠΈΡ
ΡΠΎΡΡΠ²Π΅ΡΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅ΡΠ°. Π‘Π²ΠΈ Π±Π»ΠΎΠΊΠΎΠ²ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°, ΡΠΈΡ
ΠΎΠ²Π° ΡΡΠ½ΠΊΡΠΈΡΠ° ΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡΠ° Π΄Π΅ΡΠ°ΡΠ½ΠΎ ΡΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈ Ρ
Π΄ΠΈΡΠ΅ΡΡΠ°ΡΠΈΡΠΈ. ΠΠ° ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ΠΈ ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΠΏΡΠΎΡΠ΅ΡΠ΅Π½Ρ Π²Π΅ΡΠΎΠ²Π°ΡΠ½ΠΎΡΡ Π³ΡΠ΅ΡΠ°ΠΊΠ° ΠΊΠΎΡΠ΅ ΡΠ΅ Π³Π΅Π½Π΅ΡΠΈΡΡ
ΡΠΎΠΊΠΎΠΌ ΡΠ°Π΄Π°, ΠΈΠ·ΡΠ°ΡΡΠ½Π°ΡΠ° ΡΠ΅ Π²Π΅ΡΠΎΠ²Π°ΡΠ½ΠΎΡΠ° ΠΈΡΠΏΡΠ°Π²Π½Π΅ Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠ΅.
ΠΠ΄ΡΠ΅ΡΠ΅Π½Π΅ ΡΡ ΠΌΠ΅ΡΡΠΎΠ»ΠΎΡΠΊΠ΅ ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ΅ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ΠΎΠ³ DF ΡΠΈΡΡΠ΅ΠΌΠ°, ΠΌΠ΅ΡΠ΅ΡΠ΅ΠΌ
ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΏΠΎΡΠ΅Π΄ΠΈΠ½ΠΈΡ
ΡΠΊΠ»ΠΎΠΏΠΎΠ²Π° ΡΠΈΡΡΠ΅ΠΌΠ° ΠΈ ΡΠ΅Π»ΠΎΠ³ ΡΠΈΡΡΠ΅ΠΌΠ° Ρ ΡΠ΅Π»ΠΈΠ½ΠΈ. ΠΠ·ΡΠ°ΡΡΠ½Π°ΡΠ΅ ΡΡ ΠΌΠ΅ΡΠ½Π΅
Π½Π΅ΡΠΈΠ³ΡΡΠ½ΠΎΡΡΠΈ ΠΊΠ°ΠΊΠΎ Π·Π° ΠΏΠΎΡΠ΅Π΄ΠΈΠ½Π°ΡΠ½Π΅ ΡΠΊΠ»ΠΎΠΏΠΎΠ²Π΅, ΡΠ°ΠΊΠΎ ΠΈ Π·Π° ΡΠ΅ΠΎ ΡΠΈΡΡΠ΅ΠΌ, ΡΠΈΠΌΠ΅ ΡΠ΅ Π΄Π°ΡΠΎ Π²ΠΈΡΠ΅ΡΠ΅
ΡΠΏΠΎΡΡΠ΅Π±Π½Π΅ Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°.Passive radio direction finding DF is a technical discipline commonly used in many civil and
military applications. Typical applications are passive early warning systems, such are aircrafts
and vessels equipped with radars. In area of civil applications, DF usage is much more manifold
and widespread: such systems are used for detection of moving or stationary radiation sources, in
reconnaissance and cleaning interference in radio communications, localization of non-authorized
transmitters, in intelligent and security systems, etc.
According to widespread application area, DF systems might have different characteristic, such
are: a) portability β ability of integration into small transferable or mobile systems (unmanned
aircraft, light infantry vehicle, patrol boat, etc.); b) real time operation; c) different channel signals
detection, etc. With an aim to be able to achieve all specific DF features, it is mandatory to perform
a systematic design, what is the main topic of this doctoral dissertation.
For the acquisition of any physical signal, appropriate sensor is required. For the case of
acquisition of the electromagnetic waves in DF techniques, the sensor is based on convenient
antenna, typically organized in corresponding antenna array. For the application given in the
dissertation, there are several suitable types of antennas. In order to select appropriate antenna, an
overview of all suitable antennas types β horn antennas, are given, and the conclusion is that the
most suitable selection is the pyramidal horn antenna.
The purpose of processing signals obtained from the antenna array as a sensor, is to determine
the direction of the incoming electromagnetic signal. The processing can be achieved by several
techniques, and accordingly, each differ one to another. Although, there are super-resolution
techniques that provides the best results in terms of resolution, they are not efficient and suitable
for portable systems applications, thus, the classical techniques with amplitude detection are
selected for consideration. Basic amplitude detection techniques are analysed, and one is selected
as the most suitable from the point of the software and hardware efficiency and implementation,
same as from the point of the introduced criterion - amplitude dynamic range.
Determination of an electromagnetic wave Direction, from unique radiation source, with no
interfering conditions, is a quite easy task. The problem arises when it comes to presence of
multiple, physically very close, radiation sources, so in general, determination of direction, per
each of them, might be unsolvable. Super-resolution methods, according to literature, are able to
solve such tasks in most of cases, for the price of speed, equipment size, energy consumption, etc.
If a portable solution is requested, then this problem is essentially unsolvable. In practice,
physically close sources radiate at different frequency channels, so by successive detection on each
channel it is possible to detect all possible sources. Such a procedure is called multichannel
detection.
Since the antenna array, considered as a sensor, is used on multiple frequencies, its
characteristics are not the same for each frequency channel. In addition, the elements of an antenna
array do not have identical characteristics in general, regardless of the same geometry. Therefore,
in the dissertation, a calibration procedure is proposed for all antennas, and at all frequency
channels. Accordingly, constitution of lookup table that allows, efficient data processing is
proposed.
Theoretically, for a defined application, any circular antenna array with directional antennas
adapted for the defined frequency range can be applied. However, the portable application is
concerned, so the goal is to fit it into the given dimension, that is, minimize dimension and number
of antenna array elements.
For this reason, an original pyramidal horn antenna design procedure is defined, which
redefines the standard optimization criterion, and introduces additional criteria for antenna
optimization, in terms of electrical and mechanical characteristics, as well as the antenna array
optimization in term of number of elements.
The complete DF system was realized using the modern mix-signal electronic systems design
methodology, and by applying the robust software solutions.
Detail description of all system blocks, their function and realization is given in the
dissertation. Using the estimated probability of errors generated during operation, the probability
of correct detection is calculated. For the case of designed system, and the estimated probability
of errors, the probability of correct detection is evaluated.
The metrology characteristics of the realized DF system are determined, by measuring the
characteristics of individual system components and the entire system itself. Measurement
uncertainty for individual components and entre system are calculated, demonstrating the system
quality value
- β¦