Adaptive Acquisition Schemes for Photon-Limited Free-Space Optical Communications
Type
ArticleKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2020Preprint Posting Date
2020-01-12Permanent link to this record
http://hdl.handle.net/10754/661522
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Acquisition and tracking systems form an important component of free-space optical communications due to directional nature of the optical signal. Acquisition subsystems are needed in order to search and locate the receiver terminal in an uncertainty/search region with very narrow laser beams. In this paper, we have proposed and analyzed two adaptive search schemes for acquisition systems that perform better—for the low probability of detection—than the spiral scanning approach. The first of these schemes, the adaptive spiral search, provides a better acquisition time performance by dividing the search region into a number of smaller subregions, and prioritizing search in regions of higher probability mass. The second technique—the shotgun approach—searches the region in a random manner by sampling the search region according to a Gaussian distribution. The adaptive spiral scheme outperforms the shotgun approach in terms of acquisition time, especially if the number of search subregions is large enough. However, a higher pointing accuracy is required by the adaptive spiral search in order to search the region precisely. On the other hand, the shotgun scanning approach does not require such stringent pointing accuracy.Citation
Bashir, M. S., & Alouini, M.-S. (2020). Adaptive Acquisition Schemes for Photon-Limited Free-Space Optical Communications. IEEE Transactions on Communications, 1–1. doi:10.1109/tcomm.2020.3027886Sponsors
This work is supported by Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST).arXiv
2001.04010Additional Links
https://ieeexplore.ieee.org/document/9210018/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9210018
ae974a485f413a2113503eed53cd6c53
10.1109/TCOMM.2020.3027886