Photocounting Array Receivers for Optical Communication Through the Lognormal Atmospheric Channel 1: Optimum and Suboptimum Receiver Structures

Teich, Malvin C.; Rosenberg, S.

doi:10.1364/ao.12.002616

Cited by 25 publications

(4 citation statements)

References 29 publications

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“…< xs >= G(SC + rBT + IBT/q) + IsT/q (4) V AR(xs ) = G2F(Sc + rBT + IBT/q) + IsT/q +V AR(P) (5) as = \IVAR(xs) (6) Two cases are now considered: case A , in which the signal parameters are formulated ignoring atmospheric turbulence effects, and case B, formulated with atmospheric turbulence effects included. …”

Section: Noise Parametersmentioning

confidence: 99%

Turbulence Effects On The Performance Of A High Order PPM Optical Communication Channel Using An APD-Based Receiver

Gur

Weissman

1987

Optical Technologies for Space Communication Systems

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Turbulence effects on the performance of M'ary PPM format optical communication channel using an APD -based receiver are investigated.The bit error probability vs. received signal has been computed for no turbulence, mild turbulence (a =0.2), and strong turbulence (a =0.4). Calculations were done for a typical APD characteristics, background power of 0.25 nW, integrating time of 2 nsec, and signal power in the range of 5 -50 nW. throughout the calculation, Gaussian statistics were assumed.A set of curves, describing the bit error probability vs. received power were generated. From these curves, the turbulence induced loss factors were estimated. The values of these factors are approximately 1.3 for mild and 2 -2.5 for strong turbulence. for a given signal power, the increase in the bit error probability due to turbulence may amount to three orders of magnitude.

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Section: Noise Parametersmentioning

confidence: 99%

Turbulence Effects On The Performance Of A High Order PPM Optical Communication Channel Using An APD-Based Receiver

Gur

Weissman

1987

Optical Technologies for Space Communication Systems

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“…Dead time, 4 0 being a nonlinear effect, destroys the independence of the signal and noise and cannot be included in our model. In the limit of large mean noise count, however, for Poisson signal and Poisson noise in the presence of dead time, it has been shown' 9 by direct calculation that the single-threshold processor is optimum. Dead time effects are negligible when X << 1, where X is the rate of the underlying Poisson process, and is the dead time.…”

Section: Optical Communication Systemmentioning

confidence: 99%

Single-threshold detection of a random signal in noise with multiple independent observations 1: Discrete case with application to optical communications

Prucnal

Teich

1978

Appl. Opt.

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A single-threshold processor is derived for a wide class of classical binary decision problems involving the likelihood-ratio detection of a signal embedded in noise. The class of problems we consider encompasses the case of multiple independent (but not necessarily identically distributed) observations of a nonnegative (nonpositive) signal, embedded in additive, independent, and noninterfering noise, where the range of the signal and noise is discrete. We show that a comparison of the sum of the observations with a unique threshold comprises optimum processing, if a weak condition on the noise is satisfied, independent of the signal. Examples of noise densities that satisfy and violate our condition are presented. The results are applied to a generalized photocounting optical communication system, and it is shown that most components of the system can be incorporated into our model. The continuous case is treated elsewhere [IEEE Trans. Inf. Theory IT-25, (March, 1979)].

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“…Depolarization effects of the atmosphere, which are not generally large, will result in a decrease of (SNR)i and thus (SNR)Q (see Refs. [15][16][17][18].…”

Section: Orthogonal Signaling Formatsmentioning

confidence: 99%

Three-Frequency Nonlinear Heterodyne Detection 2: Digital Communications and Pulsed Radar

Teich

Yen

1975

Appl. Opt.

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Part 1 of this paper [Appl. Opt. 14, 666 (1975)] dealt with the cw radar and analog communications uses of three-frequency nonlinear heterodyne detection. In this paper, we evaluate the technique for a number of specific pulsed radar and digital communications applications. Both the vacuum channel and the lognormal turbulent atmospheric channel are considered. It is found that the advantages of the technique in the pulsed/digital system are similar to those obtained in the cw/analog system. Computer generated error probability curves as a function of the input signal-to-noise ratio are presented for a variety of binary receiver parameters and configurations and for various levels of atmospheric turbulence. Orthogonal and nonorthogonal signaling schemes, as well as dependent and independent fading, are considered. When Doppler information is poor, performance is generally superior to that of the conventional heterodyne system.

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Photocounting Array Receivers for Optical Communication Through the Lognormal Atmospheric Channel 1: Optimum and Suboptimum Receiver Structures

Cited by 25 publications

References 29 publications

Turbulence Effects On The Performance Of A High Order PPM Optical Communication Channel Using An APD-Based Receiver

Turbulence Effects On The Performance Of A High Order PPM Optical Communication Channel Using An APD-Based Receiver

Single-threshold detection of a random signal in noise with multiple independent observations 1: Discrete case with application to optical communications

Three-Frequency Nonlinear Heterodyne Detection 2: Digital Communications and Pulsed Radar

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