Date of Award
Fall 2012
Degree Type
Thesis
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical and Computer Engineering
Supervisor
T. Kirubarajan
Language
English
Committee Member
I. Bruce, S. Sirouspour
Abstract
In this thesis the problem of multitarget tracking in multistatic sensor networks is studied. This thesis focuses on tracking airborne targets by utilizing transmitters of opportunity in the surveillance region. Passive Coherent Location (PCL) system, which uses existing commercial signals (e.g., FM broadcast, digital TV) as the illuminators of opportunity for target tracking, is an emerging technology in air defence systems. PCL systems have many advantages over conventional radar systems such as low cost, covert operation and low vulnerability to electronic counter measures.
One of another opportunistic signals available in the surveillance region is multipath signal. In this thesis, the multipath target return signals from distinct propagation modes that are resolvable by the receiver are exploited. When resolved multipath returns are not utilized within the tracker, i.e., discarded as clutter, potential information conveyed by the multipath detections of the same target is wasted. In this case, spurious tracks are formed using target-originated multipath measurements, but with an incorrect propagation mode assumption. Integrating multipath information into the tracker (and not discarding it) can help improve the accuracy of tracking and reduce the number of false tracks.
In this thesis, these opportunistic measurements, i.e., commercial broadcast signals measurements in PCL tracking and resolvable multipath target return measurements in multipath assisted tracking are exploited. We give the optimal formulations for all of the above problems as well as the performance evaluations using PCRLB. Simulation results illustrate the performance of the algorithms.
Recommended Citation
SUBRAMANIAM, MAHESWARAN, "Multitarget Tracking Using Multistatic Sensors" (2012). Open Access Dissertations and Theses. Paper 7513.
http://digitalcommons.mcmaster.ca/opendissertations/7513
Thesis with the full name
McMaster University Library
Included in
Applied Statistics Commons, Multi-Vehicle Systems and Air Traffic Control Commons, Navigation, Guidance, Control and Dynamics Commons, Probability Commons, Signal Processing Commons, Systems and Communications Commons