Digital pulse interval modulation for optical communications

Ghassemlooy, Zabih; Hayes, Andrew; Seed, N. L.; Kaluarachchi, Eraj

doi:10.1109/35.735885

Cited by 142 publications

(70 citation statements)

References 6 publications

(8 reference statements)

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“…Two different versions of PPM have been proposed for optical wireless communication, pulse width modulation (PWM), and digital pulse interval modulation (DPIM) [39]- [41]. In the PWM, the width of the pulses is modulated to convey the transmitted signal.…”

Section: Modulation Schemesmentioning

confidence: 99%

Free Space Optic and mmWave Communications: Technologies, Challenges and Applications

Ismail

Leitgeb

Plank

2016

IEICE Trans. Commun.

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SUMMARY Increasing demand in data-traffic has been addressed over the last few years. It is expected that the data-traffic will present the significant part of the total backbone traffic. Accordingly, much more transmission systems will be required to support this growth. A free space optic (FSO) communication is the greatest promising technology supporting high-speed and high-capacity transport networks. It can support multi Gbit/s for few kilometers transmission distance. The benefits of an FSO system are widespread, low cost, flexibility, immunity to electromagnetic field, fast deployment, security, etc. However, it suffers from some drawbacks, which limit the deployment of FSO links. The main drawback in FSO is the degradation in the signal quality because of atmospheric channel impairments. In addition, it is high sensitive for illumination noise coming from external sources such as sun and lighting systems. It is more benefit that FSO and mmWave are operating as a complementary solution that is known as hybrid FSO/mmWave links. Whereas the mmWave is susceptible to heavy rain conditions and oxygen absorption, while fog has no particular effect. This paper will help to better understand the FSO and mmWave technologies and applications operating under various atmospheric conditions. Furthermore, in order to improve the system performance and availability, several modulation schemes will be discussed. In addition to, the hybrid FSO/mmWave with different diversity combining techniques are presented.

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Section: Modulation Schemesmentioning

confidence: 99%

Free Space Optic and mmWave Communications: Technologies, Challenges and Applications

Ismail

Leitgeb

Plank

2016

IEICE Trans. Commun.

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“…However, on dispersive channels, the optimum sampling point changes as the severity of ISI changes. In order to isolate the power penalty due to ISI, two assumptions are made:-(i) perfect timing recovery, which is achieved by shifting the time origin so as to maximise c 0 [16], and (ii) optimal decision threshold level α op .…”

Section: No Guard Slotmentioning

confidence: 99%

“…The average BER may be calculated using the method proposed in [10], [16], which is described as follows. Consider the discrete-time equivalent impulse response of the cascaded system truncated to have j time slots given by:…”

Section: No Guard Slotmentioning

confidence: 99%

Reducing the effects of intersymbol interference in diffuse DPIM optical wireless communications

Ghassemlooy¹,

Hayes²,

Wilson³

2003

IEE Proceedings - Optoelectronics

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This paper investigates the performance of digital pulse interval modulation (DPIM) in the presence of multipath propagation and additive white Gaussian noise. To combat intersymbol interference (ISI) guard slots and a non-linear equaliser have been introduced. The average optical power requirements (AOPR) due to ISI for cases with/without guard slots and with equaliser are analysed using a ceiling-bounce model. Results obtained show that in the absence of equalisation, DPIM without guard slot offers a lower AOPR compared with on-off keying (OOK). Introducing guard slots gives a further reduction in AOPR by up to 4 dB due to the reduced duty cycle of the DPIM signal. The performance of DPIM without guard slot buy using an equaliser is found to be significantly better than DPIM with guard slots on a channel with severe ISI.

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“…A pulse with amplitude one is transmitted for symbol one and a blank space corresponds to symbol zero. This can be the theoretical basis for other spectrum calculation problems such as non-uniform symbol duration modulation, digital pulse interval modulation techniques [2], or radar recognition and target identification [3][4].…”

mentioning

confidence: 99%

Random pulse train spectrum calculation unleashed

Stepanov

Venetsanopoulos

2008

2008 Canadian Conference on Electrical and Computer Engineering

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For the first time the problem of the full solution for the calculation of the power spectrum density of the random pulse train is solved. This well known problem led to a mistaken publication in the past and even its partial solution was considered worthy of publication in a textbook.The little known solution for only the continues random pulse train spectrum is explained by examples and is extended to cover each signal having a discrete spectrum, too. A developed approach is used to derive the general equation for two important representative pulse trains with unbalanced symbol duration: a signal with stretched pulse with a transition from "one" to "zero", and shortened blank symbols. The developed theoretical results are validated by simulation. It is shown that the pulse trains under consideration pose spectrum peaks. The characteristics of these peaks are investigated.

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Digital pulse interval modulation for optical communications

Cited by 142 publications

References 6 publications

Free Space Optic and mmWave Communications: Technologies, Challenges and Applications

Free Space Optic and mmWave Communications: Technologies, Challenges and Applications

Reducing the effects of intersymbol interference in diffuse DPIM optical wireless communications

Random pulse train spectrum calculation unleashed

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