1987
DOI: 10.1515/joc.1987.8.2.57
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Receiver Analysis for Incoherent Optical ASK Heterodyne Systems

Abstract: The present paper describes the system calculation of an optical ASK heterodyne receiver with envelope detection in detail. In particular the intermediate frequency signal and the envelope signal are derived taking account of laser phase noise, additive Gaussian noise, influence of the intermediate frequency filter on both noise terms and intersymbol interferences. Based on the derived envelope the probability density function and the bit error rate are calculated exactly and by useful approximations. In regar… Show more

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Cited by 9 publications
(11 citation statements)
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“…1). The signal of interest in this receiver is the sampled (and normalized) envelope r = a(t)cos((p(t))s(-t)dt + x [ +00 ί -00 a(t)sin(cp(t))s(-t)dt + y I-(D where a(t) denotes the transmitted information, φ (I) the laser phase noise and s(t) ο-· S(f) the time response of the baseband representation of the IF-filter S IF (f) = S(f-f IF ) + S(f+f IF ) [13,20]. The sampling values χ and y represent the inphase and the quadrature component of the additive, bandlimited Gaussian noise at the IF-filter output, caused by the shot noise of the photodiodes and the thermal noise mainly due to the front end amplifier.…”
Section: Receiver Calculationmentioning
confidence: 99%
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“…1). The signal of interest in this receiver is the sampled (and normalized) envelope r = a(t)cos((p(t))s(-t)dt + x [ +00 ί -00 a(t)sin(cp(t))s(-t)dt + y I-(D where a(t) denotes the transmitted information, φ (I) the laser phase noise and s(t) ο-· S(f) the time response of the baseband representation of the IF-filter S IF (f) = S(f-f IF ) + S(f+f IF ) [13,20]. The sampling values χ and y represent the inphase and the quadrature component of the additive, bandlimited Gaussian noise at the IF-filter output, caused by the shot noise of the photodiodes and the thermal noise mainly due to the front end amplifier.…”
Section: Receiver Calculationmentioning
confidence: 99%
“…To calculate the BER, the probability density function (PDF) f r (r) is required. As derived in [13,20], this PDF can be written as follows : (2) where Q(x) = 0.5 erfc(x/j/2). Assuming identical occurance probabilities for symbol "0" and "1" we obtain…”
Section: Receiver Calculationmentioning
confidence: 99%
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