Abstract:
Radar, wireless, and underwater communications depend on source localization. TOA, TDOA, AOA, and RSS-based localization methods are the most popular. In source localization applications, sensor placement is crucial because the Cramér-Rao lower bounds (CRLB) of these methods explicitly depend on sensor geometry.
This project finds optimal sensor placements for TOA, TDOA, AOA, and RSS-based localization scenarios. A generalized problem formulation using the CRLB-related metric unifies the three localization models.
Then, using ADMM and MM techniques, a unified optimization framework for optimal sensor placement (UTMOST) is created. UTMOST does not approximate the design criterion or consider only uncorrelated noise in measurements, unlike most state-of-the-art works.
With slight framework modifications, it can adapt to different design criteria (A, D, and E-optimality) and produce optimal sensor placements. Extensive numerical experiments demonstrate the framework’s efficacy and flexibility.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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