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Optical Beam Position Estimation and Tracking in Free-Space Optical Communications.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Optical Beam Position Estimation and Tracking in Free-Space Optical Communications./
Author:	Bashir, Muhammad Salman.
Description:	1 online resource (141 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355253566

Optical Beam Position Estimation and Tracking in Free-Space Optical Communications.
Bashir, Muhammad Salman.

Optical Beam Position Estimation and Tracking in Free-Space Optical Communications. - 1 online resource (141 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Optical beam position on a detector array is an important parameter that is needed to optimally detect a Pulse Position Modulation (PPM) symbol in free-space optical communications. Since this parameter is generally unknown, it is therefore essential to estimate the beam position as accurately as possible. In this thesis, we examine different algorithms that are used to estimate and track the beam position which could be either stationary, or time-varying. We use different estimators (Centroid, Template-Matching and Maximum Likelihood) and trackers (Kalman and particle filters) for stationary/dynamic beam position scenarios, and compare their performance in terms of mean-square error and computational complexity. Simulation results indicate that for various signal-to-noise ratios and detector array configurations, the maximum likelihood estimator achieves the lowest mean-square error performance of the three stationary beam position estimators. For tracking with particle filters, the greater the number of particles used for the purpose of tracking, the superior the mean-square error performance. However, the better performance of the maximum likelihood estimator, and the particle filters employing a larger number of particles, comes with the overhead of larger computational complexity.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355253566Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Optical Beam Position Estimation and Tracking in Free-Space Optical Communications.
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100 1 $a Bashir, Muhammad Salman. $3 1181769
245 1 0 $a Optical Beam Position Estimation and Tracking in Free-Space Optical Communications.
264 0 $c 2017
300 $a 1 online resource (141 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: Mark R. Bell.
502 $a Thesis (Ph.D.) $c Purdue University $d 2017.
504 $a Includes bibliographical references
520 $a Optical beam position on a detector array is an important parameter that is needed to optimally detect a Pulse Position Modulation (PPM) symbol in free-space optical communications. Since this parameter is generally unknown, it is therefore essential to estimate the beam position as accurately as possible. In this thesis, we examine different algorithms that are used to estimate and track the beam position which could be either stationary, or time-varying. We use different estimators (Centroid, Template-Matching and Maximum Likelihood) and trackers (Kalman and particle filters) for stationary/dynamic beam position scenarios, and compare their performance in terms of mean-square error and computational complexity. Simulation results indicate that for various signal-to-noise ratios and detector array configurations, the maximum likelihood estimator achieves the lowest mean-square error performance of the three stationary beam position estimators. For tracking with particle filters, the greater the number of particles used for the purpose of tracking, the superior the mean-square error performance. However, the better performance of the maximum likelihood estimator, and the particle filters employing a larger number of particles, comes with the overhead of larger computational complexity.
520 $a Furthermore, we also argue that an accurate estimate of the beam position is required in order to minimize the probability of PPM symbol detection error in an uncoded free-space optical communication system, and we use an argument based on the Chernoff bound in order to verify this. Moreover, we verify the probability of error minimization argument with the help of Monte Carlo simulations. From the simulations, we find out that probability of error increases monotonically with mean-square error achieved by a given estimator. Hence, the estimators that perform well in terms of mean-square error will also achieve better performance in terms of the probability of error criterion. Lastly we present some ideas for future work.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Purdue University. $b Electrical and Computer Engineering. $3 1148521
773 0 $t Dissertation Abstracts International $g 79-03B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10284727 $z click for full text (PQDT)