Localization of a point target from an optical sensor's focal plane array
Document Type
Conference Proceeding
Publication Date
1-1-2018
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
10646
Keywords
CRLB, efficiency, Localization, MLE, optimal pixel size
Abstract
This paper considers the localization of a point target from an optical sensor's focal plane array (FPA) with a dead zone separating neighboring pixels. The Cramer Rao lower bound (CRLB) for the covariance of the maximum likelihood estimate (MLE) of target location is derived based on the assumptions that the energy density of the target deposited in the FPA conforms to a Gaussian point spread function (PSF) and that the pixel noise is based on a Poisson model (i.e., the mean and variance in each pixel are proportional to the pixel area),. Extensive simulation results are provided to demonstrate the efficiency of the MLE of the target location in the FPA. Furthermore, we investigate how the estimation performance changes with the pixel size for a given dead zone width. It is shown that that there is an optimal pixel size which minimizes the CRLB for a given dead zone width.
DOI
10.1117/12.2305098
ISSN
0277786X
E-ISSN
1996756X
ISBN
9781510618039
Recommended Citation
Lu, Qin; Bar-Shalom, Yaakov; Willett, Peter; and Balasingam, Balakumar. (2018). Localization of a point target from an optical sensor's focal plane array. Proceedings of SPIE - The International Society for Optical Engineering, 10646.
https://scholar.uwindsor.ca/computersciencepub/125