Signal Acquisition with Photon-Counting Detector Arrays in Free-Space Optical Communications

Muhammad Salman Bashir, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Pointing and acquisition are an important aspect of free-space optical communications because of the narrow beamwidth associated with the optical signal. In this paper, we have analyzed the pointing and acquisition problem in free-space optical communications for photon-counting detector arrays and Gaussian beams. In this regard, we have considered the maximum likelihood detection for detecting the location of the array, and analyzed the one-shot probabilities of missed detection and false alarm using the scaled Poisson approximation. Moreover, the upper/lower bounds on the probabilities of missed detection and false alarm for one complete scan are also derived, and these probabilities are compared with Monte Carlo approximations for a few cases. Additionally, the upper bounds on the acquisition time and the mean acquisition time are also derived. The upper bound on mean acquisition time is minimized numerically with respect to the beam radius for a constant signal-to-noise ratio scenario. Finally, the complementary distribution function of an upper bound on acquisition time is also calculated in a closed form. Our study concludes that an array of smaller detectors gives a better acquisition performance (in terms of acquisition time) as compared to one large detector of similar dimensions as the array.
Original languageEnglish (US)
Pages (from-to)2181-2195
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number4
StatePublished - Feb 4 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST).


Dive into the research topics of 'Signal Acquisition with Photon-Counting Detector Arrays in Free-Space Optical Communications'. Together they form a unique fingerprint.

Cite this