Optical Communication System Performance with Tracking Error Induced Signal Fading

Abstract

I, that this distance is two for all sequences with length greater Poisson rate parameter is assumed to be constant under H , than two. This implies that the optimum observation interval and H 1 over the entire observation interval (0, T),' then is 2 T. REFERENCES[ 1 ] R. de Buda, "Coherent demodulation of frequency-shift keying with low deviation ratio,'> IEEE nuns, commun., vel. COM-20, where the threshold A is now a function of the known conpp. 429-435, June 1972. stant received signal and noise through the parameters ho and of PCM/FM with random waveforms,*' IEEE T~~~~. space ~l~~-hl ; ho(t) = XO and AI ( t ) = A I . This statistic can also be obtron. Telem., vol. SET-10, pp. 39-44, Mar. 1964. tained [ 11 by considering immediately the distribution of the [31 v. A. Kotel'nikov, The Theory of Optimum Noise Immunity. photocounts per bit time to be a Poisson random variable K New York: McGraw-Hill, 1959, p. 40. [ 2 ] M. G. Pelchat, "The autocorrelation function and power spectrum under the hypotheses H I and Ho, and applying the maximum likelihood decision strategy "decide H I if the likelihood ratio R ( k ) satisfies Optical Communication System Performance with Tracking Error Induced Signal Fading M. TYCZ, M. W. FITZMAURICE, AND D. A. PREMOAbsfrucf-System performance is determined for an optical communication system using noncoherent detection in the presence of tracking error induced signal fading assuming I) binary on-off modulation (OOK) with both fixed and adaptive threshold receivers, and 2) binary polarization modulation (BPM). BPM is shown to maintain its inherent 2-3 dB advantage over OOK when adaptive thresholding is used, and to have a substantially greater advantage when the OOK system is restricted to a fixed decision threshold.

Maximum Likelihood Estimation of the Lognormal-Rician FSO Channel Model

“…The first category, idealized adaptive detection, applies bit-by-bit adaptations to the detection threshold on the (typically) nanosecond timescale of the bit interval [2], [5]. The second category, quasi-static adaptive detection, applies adaptations to the detection threshold on the (typically) millisecond timescale of the turbulence coherence time [6].…”

Optical communications over lognormal fading channels using OOK

“…Since N and Is are assumed to be independent, the pdf of the received lowstate signal is the convolution of the marginal pdfs of Is and N according to (6) where * denotes the convolution operation, and f N (x) = 1F 1 exp (-2X22) denotes the noise pdf.…”

“…Attempts to overcome the irreducible error floors of OaK IMIDD systems have focused on the application of adaptive detection thresholds. Such adaptive OaK demodulation requires perfect knowledge of channel state information (CSI), as it makes use of the instantaneous SNR when detecting each data symbol [2], [6]. This can be highly impractical [2], [7].…”

Free-Space Optical Communications Using on–off Keying and Source Information Transformation

“…Attempts to overcome the irreducible error floors of OOK IM/DD systems have focused on the application of adaptive detection thresholds. The standard approach proposed for adaptive detection applies perfect knowledge of the instantaneous channel state information (CSI), as it uses the instantaneous SNR to detect each data symbol [2], [6]. This approach has obvious practical concerns for OOK IM/DD operation with nanosecond data symbol durations (i.e., Gbps rates) and millisecond turbulence coherence times, as rapid detection threshold adjustments are needed on the timescale of the millisecond turbulence coherence times [2], [7]- [9].…”