Cognitive Radar Applied To Target Tracking Using Markov Decision Processes

Simple item page
dc.contributor.authorSelvi, Ersin Suleymanen
dc.contributor.committeechairBuehrer, R. Michaelen
dc.contributor.committeechairMichaels, Alan J.en
dc.contributor.committeememberMacKenzie, Allen B.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2018-01-31T09:00:17Zen
dc.date.available2018-01-31T09:00:17Zen
dc.date.issued2018-01-30en
dc.description.abstractThe radio-frequency spectrum is a precious resource, with many applications and users, especially with the recent spectrum auction in the United States. Future platforms and devices, such as radars and radios, need to be adaptive to their spectral environment in order to continue serving the needs of their users. This thesis considers an environment with one tracking radar, a single target, and a communications system. The radar-communications coexistence problem is modeled as a Markov decision process (MDP), and reinforcement learning is applied to drive the radar to optimal behavior.en
dc.description.abstractgeneralThe radio-frequency electromagnetic spectrum is a precious resource, in which users and operators are assigned frequency slots in which they can operate. The federal spectrum auction in the United States freed up some of the spectrum for shared use. The implications of this are the spectrum will become more dense; there will be more devices and users in the same amount of spectrum. The devices and platforms of this spectrum need to be more adaptive and agile in order to (1) not be interfered by other systems, (2) cause interference to other systems, and (3) continue to meet the needs of users (e.g. cell phone users) and operators (e.g. military radar). The work presented in this thesis applies Markov decision process and reinforcement learning to solve the problem.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:13870en
dc.identifier.urihttp://hdl.handle.net/10919/81968en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCognitive radaren
dc.subjecttarget trackingen
dc.subjectMarkov decision processen
dc.subjectinterference mitigationen
dc.subjectspectrum coexistenceen
dc.titleCognitive Radar Applied To Target Tracking Using Markov Decision Processesen
dc.typeThesisen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Selvi_ES_T_2018.pdf
Size:
1.17 MB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses