BER analysis of optical wireless signals through lognormal fading channels with perfect CSI

Moradi, Hassan; Falahpour, Maryam; Refai, Hazem H.; LoPresti, Peter G.; Atiquzzaman, Mohammed

doi:10.1109/ictel.2010.5478870

Cited by 34 publications

(12 citation statements)

References 7 publications

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“…In this work, we assume a lognormal distribution of the signal irradiance as previously done in other works. [27][28][29][30] This distribution is usually used for weak to moderate turbulence, i.e. σ 2 I < 1, and has been shown to match some optical satellite link measurements.…”

Section: Optical Channelmentioning

confidence: 99%

Exploiting Diversity in Future Generation Satellite Systems with Optical Feeder Links

Mengali

Kayhan

Shankar

et al. 2016

34th AIAA International Communications Satellite Systems Conference

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In this paper we exploit the transmitter micro diversity in the satellite communication systems with optical feeder links. Both analogue and digital transparent systems are studied. We consider up to four statistically independent transmitted optical beams with perfect or partial phase knowledge of the beams at the receiver. End-to-end simulation results for frame error rates are presented for a complete system including uplink, satellite payload and downlink. We compare our results with those of the DVB-S2 standard without the optical feeder link. Our results provide a complete view of gains and losses which can be obtained by micro diversity in both analogue and digital transparent satellite systems with optical feeder link. Given the system parameters, we also provide a detailed study of the transmitted power needed to achieve a target frame error rate and discuss the achieved bit rates in for each system scenario.

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Section: Optical Channelmentioning

confidence: 99%

Exploiting Diversity in Future Generation Satellite Systems with Optical Feeder Links

Mengali

Kayhan

Shankar

et al. 2016

34th AIAA International Communications Satellite Systems Conference

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“…The likelihood thresholding detection (LTD) requires a less complex receiver and higher throughput when compared to conventional methods, such as conventional symbol-bysymbol detection. It provides a BER performance comparable to symbol-by symbol detection [24].…”

Section: Introductionmentioning

confidence: 74%

“…For simplicity we can assume 2P t R = 1. The average signal-to-noise ratio (SNR) with only additive Gaussian noise can be expressed by [24] …”

Section: Additive Noisementioning

confidence: 99%

Numerical Simulation of Nanoscale Finfet Photodetector for Optimal Detection of Biological Signals Using Interpolating Wavelets

Ramesh¹,

Madheswaran²,

Kannan³

2011

PIER B

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Abstract-The biosensor design for sensing of biological signals is highly complex for accurate detection. Optimal detection of biological signals is necessary for distinguishing different tissues. This paper proposes a threshold-based detection technique which provides significant improvement in FinFET optical biosensor performance using wavelet coefficients. It uses a simple maximum likelihood (ML) function for detecting the threshold values. In this method, we have considered the different layers of body tissue as a turbid medium. To the best of our knowledge, this method is the first of its kind for classifying different tissues using threshold value of optical signals obtained from the surface potential variations of nanoscale FinFET illuminated by laser source of different wavelengths. By using this method, the point to point variations in tissue composition and structural variations in healthy and diseased tissues could be identified. The results obtained are used to examine the performance of the device for its suitable use as a nanoscale sensor.

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“…where s(t) €{-1,1} is the transmitted signal; h(t) is the normalized response due to atmospheric turbulence in the channel and in(t) is AWGN [5]. Convolutional codes are performed on bit to bit basis as shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

“…The modulation scheme used is BPSK. We have considered a lognormal fading channel and additive white Gaussian noise (AWGN) [5]. Monte Carlo simulations are carried out to compute the performance with convolution and TCM codes.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of FSO Communication Using Different Coding Schemes

Gupta¹,

Prakash²,

Kaushal³

et al. 2011

AIP Conference Proceedings

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A tool for the analysis, segmentation and reconstruction of MR brain images AIP Conf. Abstract.A major impairment in Free Space Optical (FSO) links is the turbulence induced fading which severely degrades the link performance. To mitigate turbulence induced fading and, therefore, to improve the error rate performance, error control coding schemes can be used. In this paper, we investigate the bit error performance of FSO links with different coding techniques over log normal atmospheric turbulence fading channels. The modulation scheme considered is BPSK. On the basis of computed results using Monte Carlo simulation, a comparative study of uncoded and coded systems is made.

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BER analysis of optical wireless signals through lognormal fading channels with perfect CSI

Cited by 34 publications

References 7 publications

Exploiting Diversity in Future Generation Satellite Systems with Optical Feeder Links

Exploiting Diversity in Future Generation Satellite Systems with Optical Feeder Links

Numerical Simulation of Nanoscale Finfet Photodetector for Optimal Detection of Biological Signals Using Interpolating Wavelets

Performance Analysis of FSO Communication Using Different Coding Schemes

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