Statistical characterization of filtered phase noise in optical receivers

Bit Error Rate of Majority Vote Combining Symbol Slicing Noncoherent Binary Optical Heterodyne FSK Receivers

“…The first is the applicability of phase noise characterization models proposed by the author in [31] and [32] to BER computations in noncoherent optical receivers. The first is the applicability of phase noise characterization models proposed by the author in [31] and [32] to BER computations in noncoherent optical receivers.…”

“…Note that (31) shows that all chip error probabilities are equal. is the MGF of Λ k (or simply Λ l , because the MGF is equal for all {Λ k }).…”

“…It was shown in [31] and [32] that the moment generating function in (31) Since the MGF model in [32] is more accurate than the one in [31], weʼll follow the former here, taking into account that a 0 = 0 in this model. Substituting (34) …”

“…Alternatively, a recursive formula for the moments of filtered phase noise is used in [30] to estimate the PDF. In [31] and [32] an estimated MGF is determined from a simulated population of filtered phase noise samples, leading to power series expansions of the natural logarithm of the MGF.…”

A Novel Closed Form Moment Expression for Filtered Semiconductor Laser Phase Noise

“…Most existing heterodyne receivers are based on matched filter models (or equivalently, integrate-and-dump filters) which are known to be optimal in the absence of laser phase noise [5]. Therefore, a substantial interest has grown over that past two decades or so in statistically characterizing filtered phase noise random variables [4,[6][7][8][9][10][11][12][13][14]. A brief review of these efforts is given in [15].…”