liu.seSearch for publications in DiVA
12345671 of 11
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Sensor and Signature Modeling for Aircraft Conceptual Development
Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Linköping University, Faculty of Science & Engineering.
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The aircraft design process has several phases, the first of which is conceptual design. In this phase, models describing an aircraft concept’s properties are used to evaluate its function and identify designs that meet given requirements. Fighter aircraft are generally expected to be capable of communicating, delivering munitions and gathering data about their environment to gain situational awareness. The ability to avoid detection by hostile sensors can also be important, depending on the aircraft’s role.

The design process of the aircraft itself has usually focused on an aircraft’s flight performance and ability to carry loads, e.g. munitions and extra fuel. While acceleration, rate of turn, maximum speed, and operational range are important parameters, the success of military missions also depends on sensor capabilities and signature levels. However, sensor installation and signature reduction measures can affect the aircraft and its flight performance. Whether an aircraft concept fulfills the requirements given is evaluated using simulations in appropriate scenarios. The concept’s performance is assessed using models of aircraft properties, weapon properties, sensor capabilities and signature levels. Models of the aircraft properties are usually connected dynamically, and respond to changes in such things as the size of the concept. However, sensor and signature models are often the result of a separate optimization process and are only statically connected to the aircraft model. The complete aircraft model can be improved by introducing sensor and signature models that dynamically describe both their functions, and their impact on the aircraft. Concurrent design of all the aircraft properties may improve the quality of results from scenario simulations. When models used in simulations contain parameters coupled to each other, analysis of the resulting data is particularly important because that is what supports a decision-maker’s design choice.

Sensor and signature models, in some cases combined with flight performance models, have been used to test methodologies intended for use in conceptual aircraft design. The results show that even seemingly simple models can produce results that can make a significant contribution to the aircraft design process.

Abstract [sv]

Det första steget vid flygplansutveckling är konceptfasen, där alternativa förslag på flygplan representeras av modeller som beskriver det tänkta flygplanets egenskaper. Modellerna används i simuleringar som genomförs i olika scenarion, för att utvärdera och rangordna de olika flygplanskonceptens förmågor. För stridsflygplan är det viktigt att kunna manövrera och leverera vapen såväl som att skaffa och upprätthålla en situationsuppfattning. Beroende på flygplanens roll i uppdraget kan det också vara en prioritet att undgå upptäckt från fiendens sensorer.

Konceptsfasen är vanligtvis inriktad mot flygplanets prestanda och kapacitet att bära last, exempelvis extra bränsle och vapen. Förmågan att framgångsrikt genomföra ett militärt uppdrag beror på egenskaper som har att göra med svängprestanda, acceleration, topphastighet och räckvidd såväl som sensorernas egenskaper och flygplanets signaturnivå. Simuleringar av scenarion med modeller av flygplanets egenskaper, vapenprestanda, sensoregenskaper och signaturnivåer, möjliggör värdering av ett flygplanskoncepts förmåga att genomföra sitt uppdrag på ett tillfredsställande sätt. De modeller som beskriver flygegenskaperna är vanligtvis sammankopplade och ändringar i exempelvis flygplanets storlek påverkar alla modeller. Sensor- och signaturmodeller, är däremot ofta ett resultat av en separat konstruktionsprocess och inte kopplade till exempelvis flygegenskaper. Genom att införa modeller av sensorprestanda och signaturnivåer som är dynamiskt kopplade till flygplanets modeller finns det möjligheter att förbättra konceptanalysen. Resultatet ger möjligheter att få mer fullständigt resultat från simuleringarna i scenarion, vilket i sin tur ger beslutsfattare ett bättre underlag.

I den här avhandlingen presenteras modeller av sensorer och signaturnivåer, avsedda att användas vid konceptkonstruktion av flygplan. Vissa av modellerna är kopplade till modeller för flygprestanda. Resultaten visar att även till synes enkla modeller ger resultat som kan utgöra ett användbart bidrag till konstruktionsprocessen.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2020. , p. 66
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2021
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-163595DOI: 10.3384/diss.diva-163595ISBN: 9789179299866 (print)OAI: oai:DiVA.org:liu-163595DiVA, id: diva2:1393990
Public defence
2020-04-06, Nobel, B Building, Campus Valla, Linköping, 09:15 (English)
Opponent
Supervisors
Available from: 2020-02-20 Created: 2020-02-17 Last updated: 2020-03-09Bibliographically approved
List of papers
1. Military utility: A proposed concept to support decision-making
Open this publication in new window or tab >>Military utility: A proposed concept to support decision-making
Show others...
2015 (English)In: Technology in society, ISSN 0160-791X, E-ISSN 1879-3274, Vol. 43, p. 23-32Article in journal (Refereed) Published
Abstract [en]

A concept called Military Utility is proposed for the study of the use of technology in military operations. The proposed concept includes a three-level structure representing key features and their detailed components. On basic level the Military Utility of a technical system, to a military actor, in a specific context, is a compound measure of the military effectiveness, of the assessed technical system's suitability to the military capability system and of the affordability. The concept is derived through conceptual analysis and is based on related concepts used in social sciences, the military domain and Systems Engineering. It is argued that the concept has qualitative explanatory powers and can support military decision-making regarding technology in forecasts, defense planning, development, utilization and the lessons learned process. The suggested concept is expected to contribute to the development of the science of Military-Technology and to be found useful to actors related to defense.

Place, publisher, year, edition, pages
Elsevier, 2015
Keywords
Technology, utility, decision-making
National Category
Mechanical Engineering
Research subject
Systems science for defence and security
Identifiers
urn:nbn:se:liu:diva-163641 (URN)10.1016/j.techsoc.2015.07.001 (DOI)000215364900003 ()
Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-02-17Bibliographically approved
2. Balancing the radar and long wavelength infrared signature properties in concept analysis of combat aircraft - A proof of concept
Open this publication in new window or tab >>Balancing the radar and long wavelength infrared signature properties in concept analysis of combat aircraft - A proof of concept
2017 (English)In: Aerospace Science and Technology, ISSN 1270-9638, E-ISSN 1626-3219, Vol. 71, p. 733-741Article in journal (Refereed) Published
Abstract [en]

Designing combat aircraft with high military effectiveness, affordability and military suitability requires balancing the efforts of many engineering disciplines during all phases of the development. One particular challenge is aircraft survivability, the aircrafts ability to avoid or withstand hostile actions. Signature management is one way of increasing the survivability by improving the ability to avoid detection. Here, the long-wave infrared and radar signatures are studied simultaneously in a mission context. By establishing a system of systems approach at mission system level, the risk of sub optimization at a technical level is greatly reduced. A relevant scenario is presented where the aim is to incapacitate an air-defense system using three different tactics: A low-altitude cruise missile option, a low and medium altitude combat aircraft option. The technical sub-models, i.e. the properties of the signatures, the weapons and the sensors are modeled to a level suitable for early concept development. The results from the scenario simulations are useful for a relative comparison of properties. Depending on the situation, first detection is made by either radar or infrared sensors. Although the modeling is basic, the complexity of the infrared signature and detection chain is demonstrated and possible pivot points for the balancing of radar and IR signature requirements are identified. The evaluation methodology can be used for qualitative evaluation of aircraft concepts at different design phases, provided that the technical models are adapted to a suitable level of detail. (C) 2017 Elsevier Masson SAS. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER, 2017
Keywords
Radar; Infrared; Signatures; Scenario; Evaluation
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-144148 (URN)10.1016/j.ast.2017.10.022 (DOI)000418313700067 ()
Note

Funding Agencies|Saab Aeronautics; Swedish Defence University; Swedish Armed Forces

Available from: 2018-01-09 Created: 2018-01-09 Last updated: 2020-02-17
3. Balancing Antenna Performance vs. Radar Cross Section for a Passive Radar-Detecting Sensor on an Aircraft
Open this publication in new window or tab >>Balancing Antenna Performance vs. Radar Cross Section for a Passive Radar-Detecting Sensor on an Aircraft
2019 (English)Conference paper, Published paper (Refereed)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-163593 (URN)10.2514/6.2019-2047 (DOI)
Conference
AIAA SciTech'19
Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-02-17
4. Detection Chain Model Designed for Aircraft Concept Development
Open this publication in new window or tab >>Detection Chain Model Designed for Aircraft Concept Development
2019 (English)In: Journal of Aircraft, ISSN 0021-8669, E-ISSN 1533-3868, Vol. 56, no 5, p. 1942-1950Article in journal (Refereed) Published
Abstract [en]

Simultaneous design of an aircraft and its sensor systems offers advantages over integrating standard sensors because the need for sensor function can be balanced against the integration issues. A model of the detection chain is here defined as mathematical representations of the sensors, the wave propagation, and the signatures of the target. When used in aircraft concept development in a design space exploration context, the model of the detection chain needs to be simple yet detailed enough to sufficiently describe both the sensor performance and the impact it has on the infrastructure of the aircraft. In this paper a detection chain model for radar is introduced. It includes the detection range, search volume, and signature together with implications in terms of the aircraft infrastructure the parameters of mass, the volume, and power and cooling requirements as a function of antenna size. The best choice of radar cannot be determined by the sensor function alone; it has to be evaluated together with the aircraft in tactical simulations in order to obtain the complete picture. The benefits of a larger antenna can, to some degree, be counteracted by the changes to the aircraft that affect its flight performance.

Place, publisher, year, edition, pages
AMER INST AERONAUTICS ASTRONAUTICS, 2019
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-161415 (URN)10.2514/1.C034930 (DOI)000489572700017 ()
Available from: 2019-10-31 Created: 2019-10-31 Last updated: 2020-02-17
5. Aspects of the design, evaluation and accuracy of airborne sensor clusters using time-difference of arrival
Open this publication in new window or tab >>Aspects of the design, evaluation and accuracy of airborne sensor clusters using time-difference of arrival
2019 (English)In: Aerospace Science and Technology, ISSN 1270-9638, E-ISSN 1626-3219, Vol. 92, p. 892-900Article in journal (Refereed) Published
Abstract [en]

One way of improving situational awareness without increasing the risk of detection is to use passive sensor systems. If this capability is provided by several aircraft in a cluster, which can incorporate small basic sensor platforms, advantages can be gained such as longer baselines and an increased number of sensors in the cluster. In this paper, a methodology is presented that links results from signal processing to a Design Space Exploration, DSE, regarding sensor clusters when designing clusters that can operate both independently and in cooperation with other systems. When using Time-Difference of Arrival, the accuracy of the estimated location of a signal source depends on errors in timing and positioning of the sensors, errors in estimating signal arrival times and number of sensors and their spatial distribution. The Cramer-Rao Lower Bound is used to investigate the accuracy of signal source estimates for five different clusters and two levels of timing and positioning accuracy. The results show that the direction of arrival estimates are more accurate than those for the range. Although more sensors generally increased the accuracy, their spatial distribution and baseline related to the distance to the signal source also influence the quality of the results. The DSE process is supported by the collected presentation of the data regarding the measurement accuracy of the different sensor configurations, incorporating both cluster configuration as well as the positioning and timing. Having readily accessible data, the decision makers can focus on choosing the sensor system that meets the operational needs. (C) 2019 Elsevier Masson SAS. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER, 2019
Keywords
Design Space Exploration; TDOA; Accuracy; Passive; Estimation; Source position; Sensor cluster
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-161194 (URN)10.1016/j.ast.2019.07.025 (DOI)000485852600074 ()
Available from: 2019-10-25 Created: 2019-10-25 Last updated: 2020-02-17

Open Access in DiVA

fulltext(5002 kB)35 downloads
File information
File name FULLTEXT01.pdfFile size 5002 kBChecksum SHA-512
819941bf27cb1585a6ab8c9a098ad801d6b23ca8c9b084cce2526e23b3af6d235f4c1265eea21b73c542600033a320da574e0e2b05cacc7244b8af41cded871b
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Marcus, Carina

Search in DiVA

By author/editor
Marcus, Carina
By organisation
Theoretical PhysicsFaculty of Science & Engineering
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 35 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 165 hits
12345671 of 11
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf