Cognitive Radar Applied To Target Tracking Using Markov Decision Processes

The 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.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Department dc:contributor.department

Electrical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2018

Author dc:creator

• Selvi, Ersin Suleyman

Chairs dc:contributor.committeechair

• Buehrer, R. Michael
• Michaels, Alan J.

Committee member dc:contributor.committeemember

• MacKenzie, Allen B.

• Cognitive radar
• target tracking
• Markov decision process
• interference mitigation
• spectrum coexistence

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:13870

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/81968