Performance of phase noisy optical systems with frequency stabilization

Humblet, P.A.; Young, John S.

doi:10.1109/50.144917

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…The received electric field at the n -th,

, receiver aperture from the m -th,

transmit aperture, is given by

where

denotes the received power and is subject to the optical scintillation;

is the optical carrier frequency of the transmit signal laser;

represents the overall phase noise from the m -th transmit aperture to n -th receiver aperture and can be modeled as a Wiener process [ 18 ]; and

and

are the encoded amplitude information and encoded phase information respectively. The electric field of the local oscillator (LO) can be expressed as

where

is the power of the LO,

denotes the optical carrier frequency of the LO, and

represents the phase noise of the LO.…”

Section: The System and Gallager’s Exponentmentioning

confidence: 99%

Gallager Exponent Analysis of Coherent MIMO FSO Systems over Gamma-Gamma Turbulence Channels

Miao

2020

Entropy

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This paper studies the Gallager’s exponent for coherent multiple-input multiple-output (MIMO) free space optical (FSO) communication systems over gamma–gamma turbulence channels. We assume that the perfect channel state information (CSI) is known at the receiver, while the transmitter has no CSI and equal power is allocated to all of the transmit apertures. Through the use of Hadamard inequality, the upper bound of the random coding exponent, the ergodic capacity and the expurgated exponent are derived over gamma–gamma fading channels. In the high signal-to-noise ratio (SNR) regime, simpler closed-form upper bound expressions are presented to obtain further insights into the effects of the system parameters. In particular, we found that the effects of small and large-scale fading are decoupled for the ergodic capacity upper bound in the high SNR regime. Finally, a detailed analysis of Gallager’s exponents for space-time block code (STBC) MIMO systems is discussed. Monte Carlo simulation results are provided to verify the tightness of the proposed bounds.

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“…The received electric field at the n -th,

, receiver aperture from the m -th,

transmit aperture, is given by

where

denotes the received power and is subject to the optical scintillation;

is the optical carrier frequency of the transmit signal laser;

represents the overall phase noise from the m -th transmit aperture to n -th receiver aperture and can be modeled as a Wiener process [ 18 ]; and

and

are the encoded amplitude information and encoded phase information respectively. The electric field of the local oscillator (LO) can be expressed as

where

is the power of the LO,

denotes the optical carrier frequency of the LO, and

represents the phase noise of the LO.…”

Section: The System and Gallager’s Exponentmentioning

confidence: 99%

Gallager Exponent Analysis of Coherent MIMO FSO Systems over Gamma-Gamma Turbulence Channels

Miao

2020

Entropy

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“…Due to the difficulty of obtaining an accurate analytical probability density function for the filtered noise, estimation from its moment characteristics has been attempted [7][8][9]. It can be seen later in this paper that the exponential approximation used by Azizgolu and Humblet [14,15] can even simplify the work in analyzing the noise characteristics of a heterodyne CPFSK system with an AFC loop, In this study, we use these methods, i.e., those involved with the KL expansion and exponential approximation to help analyze the system performance of CPFSK receivers with AFC loops. Corvaja and his coworkers presented this GQR analysis for ASK and FSK receivers [10,11].…”

Section: Introductionmentioning

confidence: 99%

System Performance of Optical Heterodyne CPFSK Receivers with AFCs

Hsu¹,

Wang²

2000

Journal of Optical Communications

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We analyze the system performance of optical heterodyne CPFSK receivers with AFC loops. The effects of closed loop gain and postdetection filters are taken into account.The GQR (Gaussian quadrature rule) method is used to deal with the laser phase noise characteristics in computing the bit-error rates. The impact of closed loop gain on the system performance is investigated. The optimum design of postdetection filters is outlined in showing the improvement of system performance compared with the system without AFC.

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“…Now we will specify the statistical characterization of the phase Figure 2: The linear time-invariant model for the frequency noise process that results from the application of a frequency control system. feedback stabilization scheme considered in [7].…”

Section: Frequency Feedback Modelmentioning

confidence: 99%

“…The use of feedback to achieve frequency sta-(8) with K,() as given in (10). This equation reduces to a bilization has been suggested by many authors [7,8,9,10]. third order differential equation from which the eigenvalues A linearized form of the generic frequency feedback loop are found [1].…”

Section: Frequency Feedback Modelmentioning

confidence: 99%

Optical DPSK with generalized phase noise model and narrowband reception

Azizoglu

Humblet²

Proceedings of ICC '93 - IEEE International Conference on Communications

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Abstractmodel as a special case, in order to be able to evaluate the effect of frequency feedback on the system performance. The performance of a narrowband DPSK receiver is anaWe consider a conventional electronic receiver. This relyzed in the case where the phase of the received signal is ceiver consists of a filter matched to the phase noise free simpaired by laser phase noise. This receiver is commonly inusoid followed by a delay-multiply circuitry. Since phase used for the reception of DPSK modulated signals corrupted noise broadens the emitted spectrum with respect to the case by additive white Gaussian noise. Unlike conventional analy-of a signal with stable phase, receivers with wideband filters ses which consider the asymptotic performance in the infinite are usually considered to remedy the effect of phase noise at signal-to-noise ratio regime, the effects of both additive and the expense of strengthening the effect of additive noise. We phase noises are fully taken into account. A general phase will show that the simple matched filter receiver performs noise model is employed which includes the well-known Brow-satisfactorily when used in conjunction with feedback connian motion model as a special case. This treatment enables trol, and that the effect of phase noise can be minimized with a performance evaluation under feedback control of frequency appropriately chosen system parameters, enabling the use of noise. Numerical results indicate a superior performance due phase modulation in phase noisy optical systems. to both the narrowband nature of the receiver and the phase noise stabilization mechanism.

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Performance of phase noisy optical systems with frequency stabilization

Cited by 6 publications

References 19 publications

Gallager Exponent Analysis of Coherent MIMO FSO Systems over Gamma-Gamma Turbulence Channels

Gallager Exponent Analysis of Coherent MIMO FSO Systems over Gamma-Gamma Turbulence Channels

System Performance of Optical Heterodyne CPFSK Receivers with AFCs

Optical DPSK with generalized phase noise model and narrowband reception

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