|Student Name:||Mr. Daniel Hack|
|Thesis:||Passive MIMO Radar Detection|
|Location:||Building 646, Room 102|
|Attendance Restrictions:||Government and Contractor Only|
|Date & Time:||08/15/2013 at 1500|
|Abstract:|| Passive multiple-input multiple-output (MIMO) radar is a sensor network comprised of multiple distributed receivers that detects targets using emissions from multiple non-cooperative radio frequency transmitters. This dissertation advances the theory of passive MIMO radar (PMR) detection by proposing two novel centralized detectors. The first addresses detection in PMR networks without direct-path signals. The second addresses detection in PMR networks with direct-path signals. The probability distributions of both detection test statistics are investigated using results from random matrix theory. Equivalence is established between PMR networks without direct-path signals and passive source localization (PSL) networks. Comparison of both detectors with a centralized detector for active MIMO radar (AMR) reveals that PMR may be interpreted as the link between AMR and PSL sensor networks. In particular, under high direct-path-to-noise ratio (DNR) conditions, PMR sensitivity and ambiguity approaches that of AMR. Under low-DNR conditions, PMR sensitivity and ambiguity approaches that of PSL. At intermediate DNRs, PMR sensitivity and ambiguity smoothly varies between that of AMR and PSL. In this way, PMR unifies PSL and AMR within a common theoretical framework. This result provides insight into the fundamental natures of active and passive distributed sensing.