Optical beam position estimation in free-space optical communication

Bashir, Muhammad Salman; Bell, Mark

doi:10.1109/taes.2016.150567

Cited by 33 publications

(43 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…B. Maximum Likelihood Estimation of (x 0 , y 0 ) For the pilot symbol scheme, the maximum likelihood estimator of beam position (x 0 , y 0 ) on the array is given by [6]:…”

Section: A Methods Of Moments Estimator Of I 0 and λ N 1) Pilot Symbomentioning

confidence: 99%

“…The authors in [5] present the performance analysis of centroid and maximum likelihood estimators of beam position for a "continuous" 2 array. Regarding the literature that covers communications with detector arrays in free-space optics, the authors in [6] propose beam position estimation algorithms and examine their mean-square error performance with simulations. The work in [7] extends the work in [6] by introducing Bayesian filtering algorithms, such as Kalman and particle filters, for tracking the time-varying beam position.…”

Section: Literature Review and Contributions/organization Of Thismentioning

confidence: 99%

“…Regarding the literature that covers communications with detector arrays in free-space optics, the authors in [6] propose beam position estimation algorithms and examine their mean-square error performance with simulations. The work in [7] extends the work in [6] by introducing Bayesian filtering algorithms, such as Kalman and particle filters, for tracking the time-varying beam position. The authors in [8] inspect the relationship between the probability of error and the estimation of beam position on the detector array, and using an argument based on Chernoff bounds, they show that precise estimation of beam center on the array is necessary in order to minimize the probability of error.…”

Section: Literature Review and Contributions/organization Of Thismentioning

confidence: 99%

“…Even though the authors in [6] have proposed beam position estimation algorithms with an array of detectors, they have not considered the derivation of the Cramér-Rao lower bounds on the variance of unbiased estimators. We believe that an understanding of the Cramér-Rao bounds of beam position and other parameters is an important problem as these bounds will give us important insights into the behavior of estimators under different channel conditions.…”

Section: B Contributions Of This Papermentioning

confidence: 99%

See 3 more Smart Citations

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Bashir¹,

Tsai²,

Alouini³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

Optical beam center position on an array of detectors is an important parameter that is essential for estimating the angle-of-arrival of the incoming signal beam. In this paper, we have examined the beam position estimation problem for photon-counting detector arrays, and to this end, we have derived and analyzed the Cramer-Rao lower bounds on the mean-square error of the unbiased estimators of the beam position. Furthermore, we have also derived the Cramer-Rao lower bounds of other beam parameters such as peak intensity, and the intensity of background radiation on the array. In this sense, we have considered a robust estimation of the beam position in which none of the parameters are assumed to be known beforehand. Additionally, we have derived the Cramer-Rao lower bounds of beam parameters for observations based on both pilot and data symbols of a pulse position modulation (PPM) scheme. Finally, we have considered a two-step estimation problem in which the peak intensity and background radiation are estimated using a method of moments estimator, and the beam center position is estimated with the help of a maximum likelihood estimator. <br><br>

show abstract

“…B. Maximum Likelihood Estimation of (x 0 , y 0 ) For the pilot symbol scheme, the maximum likelihood estimator of beam position (x 0 , y 0 ) on the array is given by [6]:…”

Section: A Methods Of Moments Estimator Of I 0 and λ N 1) Pilot Symbomentioning

confidence: 99%

Section: Literature Review and Contributions/organization Of Thismentioning

confidence: 99%

Section: Literature Review and Contributions/organization Of Thismentioning

confidence: 99%

Section: B Contributions Of This Papermentioning

confidence: 99%

See 2 more Smart Citations

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Bashir¹,

Tsai²,

Alouini³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors in [5] present the performance analysis of centroid and maximum likelihood estimators of beam position for a "continuous" array. Regarding the literature that covers communications with detector arrays in free-space optics, the authors in [6] propose beam position estimation algorithms and examine their mean-square error performance with simulations. The work in [7] extends the work in [6] by introducing Bayesian filtering algorithms, such as Kalman and particle filters, for tracking the time-varying beam position.…”

Section: L R C /O T P a Background Literature Reviewmentioning

confidence: 99%

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Bashir¹,

Tsai²,

Alouini³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

View full text Add to dashboard Cite

Recently, a camera or an image sensor receiver based optical wireless communications (OWC) techniques have attracted particular interest in areas such as the internet of things, indoor localization, motion capture, and intelligent transportation systems. As a supplementary technique of high-speed OWC based on photo-detectors, communications hinging on image sensors as receivers do not need much modification to the current infrastructure, such that the implementation complexity and cost are quite low. Therefore, in this paper, we present a comprehensive survey of optical camera communication (OCC) techniques, and their use in localization, navigation, and motion capture. This survey is distinguishable from the existing reviews on this topic by covering multiple aspects of OCC and its various applications. The first part of the paper focuses on the standardization, channel characterization, modulation, coding, synchronization, and signal processing techniques for OCC systems while the second part of the article presents the literature on OCC based localization, navigation, motion capture, and intelligent transportation systems. Finally, in the last part of the paper, we present the challenges and future research directions of OCC.(OCC) [5]. FSO communication systems consist of a laser diode (LD) transmitter and a photodiode (PD) receiver. It typically relies on UV or visible bands, offers high rate transmission in a long distance, and can be used for a backhaul of communication networks. However, FSO communications need a strict alignment, and consequently, their cost at transceivers is high. Also, FSO communication systems suffer from atmospheric turbulence which can be mitigated by using different statistical channel models [6,7,8,9,10], robust modulation techniques [11,12], and accurate pointing and tracking methods [13,14,15]. On the other hand, VLC hinging on visible bands is an LD or light emitting diode (LED) transmitter and PD receiver-based medium-range communication technology. VLC is capable of offering high data rate within a range of tens of meters but does not consider multiple user access. The advancement of VLC systems has also led to enable various location aware indoor applications. Recently, several indoor localization systems based on VLC are proposed [16,17,18,19,20]. Interested readers are referred to [21,22], and the references therein for VLC based indoor localization and tracking methods. Nevertheless, the VLC technology suffers from both limited coverage and interference. Increasing the field of view of the LEDs improves the coverage; however, it increases the interference at the receiver. Signal-to-interference ratio based methods can be used to analyze the coverage and interference problems in VLC systems [23]. Different from VLC, Li-Fi is an LED transmitter based light networking technology that involves multiple user access, bidirectional communications, multi-cell handover, etc. The emerging Li-Fi supports mobile communica-

show abstract

Optical beam position estimation in free-space optical communication

Cited by 33 publications

References 7 publications

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Robust Beam Position Estimation with Photon Counting Detector Arrays in Free-Space Optical Communications

Optical camera communications: Survey, use cases, challenges, and future trends

Contact Info

Product

Resources

About