δ_max detection of multipulse signaling in noisy optical channels

Abstract

Optical communication has recently been given a great deal of attention because of its anticipated contribution in increasing our data transmission capability. δmax detection of Reed‐Solomon coded PPM (RSPPM) signaling has been seen as a reliable detection technique [1]. In this article we extend the application of this detection technique to the coded Steiner‐triple pulse format, which has recently proved its outstanding features [2, 3]. It is shown here that an improved performance (with respect to RSPPM), in addition to modest bandwidth expansion and efficient transmission bandwidth, are obtained.

How does threshold detection limit atmospheric turbulence in number state optical channels?

“…resistance near the inner radius is double the resistance near the outer radius. Similar behavior is observed for an annular ring microstrip antenna on a planar surface [9].…”

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resistance near the inner radius is double the resistance near the outer radius. Similar behavior is observed for an annular ring microstrip antenna on a planar surface [9].

ABSTRACT

In this article, analysis for the recently considered photon number state optical channel [I-31 is presented. Under atmospheric turbulence conditions, the channel performance is highly affected and deteriorated.

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“…R = KIN is the code rate, which is optimally ~0 . 5 [9]. In this case the information rate (efficiency) I, is defined as…”

“…A ( N , K ) RS code used in an errors and erasures mode (f errors and e erasures) has a word error probability given by the binomial distribution as [9] where x = max(N -K + 1 -Zf, 0), a is the probability of false decision, p is the probability of erasure, and y is the probability of correct decision, as will be explained. When background radiation is high enough to deteriorate the performance of the photon channel, the channel model has to include both the medium transmittance and background noise effects at the optical avalanche photodetector (APD) input.…”

“…Using the foregoing parameters, the probability of correct PPM detection, y, may be expressed as [lo] y = P,[P,]Q-1. (9) The probability of false detection in this case is obtained when a single noise pulse is detected above threshold when the correct signal is lost, and noise is detected through the rest of frame slots. This may be calculated from…”