Adaptive thresholding for free-space optical communication receivers with multiplicative noise

Burris, H. R.; Reed, Anne E.; Namazi, N.M.; Scharpf, William J.; Vicheck, M.J.; Stell, Mena F.; Suite, Michele R.

doi:10.1109/aero.2002.1035284

Cited by 18 publications

(33 citation statements)

References 7 publications

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“…Previous work has involved theoretical comparisons of bit error rates obtainable with the optimum Bayesian LRT detection threshold and the equal variance threshold. An example of this sort of analysis is shown in Figure 2 in which it can be seen that more than an order of magnitude improvement can be obtained with the adaptive LRT threshold [7,8]. These past efforts [7,8] have concentrated on development of adaptive predictor algorithms that can predict the mean and variance values and maintain the detection threshold near optimum.…”

Section: Previous Theoretical Resultsmentioning

confidence: 99%

“…An example of this sort of analysis is shown in Figure 2 in which it can be seen that more than an order of magnitude improvement can be obtained with the adaptive LRT threshold [7,8]. These past efforts [7,8] have concentrated on development of adaptive predictor algorithms that can predict the mean and variance values and maintain the detection threshold near optimum. Adaptive algorithms have been developed based on Kalman Filters, Least Mean Squares adaptive predictors, and a Modified Sequential Regression adaptive algorithm.…”

Section: Previous Theoretical Resultsmentioning

confidence: 99%

“…Both of these devices have large multiplicative noise components that cannot be ignored. As stated above, the optimum detection threshold for an optical detector with signal dependant noise that cannot be ignored can be derived from a Bayes' Likelihood Ratio Test [7,8]. The expression for the optimum threshold is …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laboratory Implementation of an Adaptive Thresholding System for Free-Space Optical Communication Receivers with Signal Dependent Noise

Burris¹,

Moore²,

Swingen³

et al. 2005

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The optimum detection threshold for optical communication receivers with large signal-dependant noise components can be derived from a Bayes' Likelihood Ratio Test; however, the bit level statistics must be known a priori. In free-space communication systems, atmospheric conditions cause variations in optical transmission and subsequently in the bit level means and variances. These bit parameters must be tracked, estimated, and predicted, in order to update the detection threshold at a rate greater than the frequency of atmospheric changes. A laboratory implementation of an adaptive thresholding system is being implemented at the U.S. Naval Research Laboratory's Chesapeake Bay Free-space Lasercom Testbed. Early results of experiments underway and initial design of the system will be presented.

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Section: Previous Theoretical Resultsmentioning

confidence: 99%

Section: Previous Theoretical Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Laboratory Implementation of an Adaptive Thresholding System for Free-Space Optical Communication Receivers with Signal Dependent Noise

Burris¹,

Moore²,

Swingen³

et al. 2005

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“…Even though the results presented show that the performance of an adaptive decision threshold is superior to a non-adaptive decision threshold (especially in higher turbulence regimes) for both saturated and fixed gain preamplified receivers, its practical implementation is far more complicated and costly. It has also been shown that in a turbulent 22 atmosphere, saturation is primarily helpful in the preamplifier when a non-adaptive decision threshold is used at the receiver. Therefore the use of a non-adaptive decision threshold with a saturated gain preamplified receiver is recommended for scintillation suppression in FSO communication systems since good performance is achievable without the need of further complexity in the circuitry and processing.…”

Section: Resultsmentioning

confidence: 99%

“…However, the use of a non-adaptive decision threshold is not optimal in a turbulent link due to fluctuations in the signal levels [22]. To achieve an optimal performance in a turbulent link, an adaptive decision threshold that can constantly track the noise and signal levels is required [22]; which constantly tracks the variances and means of the bit level and updates the detection threshold thereby reducing the possibility of detection errors [22].…”

Section: Decision Thresholding Schemesmentioning

confidence: 99%

Saturation in cascaded optical amplifier free‐space optical communication systems

Bandele

Desai

Woolfson

et al. 2016

IET Optoelectronics

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The performance of a free-space optical (FSO) communication system in a turbulent atmosphere employing an optical amplifier (OA) cascade to extend reach is investigated. Analysis of both single and cascaded OA FSO communication links is given and the implications of using both adaptive (to channel state) and non-adaptive decision threshold schemes are analysed. The benefits of amplifier saturation, for example in the form of effective scintillation reduction when a non-adaptive decision threshold scheme is utilized at the receiver for different atmospheric turbulence regimes, are presented. Monte Carlo simulation techniques are used to model the probability distributions of the optical signal power, noise and the average bit error rate (BER) due to scintillation for the cascade.The performance of an adaptive decision threshold is superior to a non-adaptive decision threshold for both saturated and fixed gain preamplified receivers and that the ability of a saturated gain OA to suppress scintillation is only meaningful for system performance when a non-adaptive decision threshold is used at the receiver. An OA cascade can be successfully used to extend reach in FSO communication systems and specific system implementations are presented. The optimal cascade scheme with a non-adaptive receiver would use frequent low gain saturated amplification.2

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Adaptive detection technique for optical wireless communication over strong turbulence channels

Wang

Huang

Yuan

2007

Optik

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Adaptive thresholding for free-space optical communication receivers with multiplicative noise

Cited by 18 publications

References 7 publications

Laboratory Implementation of an Adaptive Thresholding System for Free-Space Optical Communication Receivers with Signal Dependent Noise

Laboratory Implementation of an Adaptive Thresholding System for Free-Space Optical Communication Receivers with Signal Dependent Noise

Saturation in cascaded optical amplifier free‐space optical communication systems

Adaptive detection technique for optical wireless communication over strong turbulence channels

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