2321-0850
2.47 [According Google C. Report] | SJIF : 5.263 | PIF : 4.128
| Sr. No. | Title and Author Name | Page No. | Download |
|---|---|---|---|
| 1 | Title : Implementation & Simulation of Convolution Encoder & Viterbi Decoder Authors : Vibhuti Sharma , Sunil Sharma Click Here For Abstract Abstract :A forward error correction technique known as convolution coding with Viterbi decoding was explored here. This Viterbi project is part of the baseband Error control coding. Here in this paper, the basic Viterbi encoder &decoder in behavior model was built and simulated. The main aim of this paper is to implement the RTL level model of Viterbi decoder. With the testing results of behavior model, with minimizing the data path, register size and butterflies in the design, we try to achieve a low silicon cost design. The RTL Viterbi decoder model includes the Branch Metric block, the Add-Compare-Select block, the trace-back block, the decoding block and next state block. With all done, we further understand about the Viterbi decoding algorithm and the DSP implementation methods. Present wireless standard such as third generation (3G) systems, GSM, 802.11A, 802.16 utilize some configuration of convolution coding. Convolution encoding with viterbi decoding is a powerful method for forward error correction. The viterbi algorithm, which is the most extensively employed decoding algorithm for convolution codes. The aim of this paper is to design convolution encoder and viterbi decoder with a constraint length of 3 and code rate of 2/3. This is realized using Verilog HDL.It is simulated and synthesized using Modelsim Altera 10.1d.Keywords: convolutional encoder, viterbi decoder, look-up table, modelsim 10.1d, viterbi algorithm. |
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| 2 | Title : Effect of Atmospheric Turbulence on BER Performance of FSO System Based on Various Modulation Techniques Authors : Mini Sengar , Devendra Soni Click Here For Abstract Abstract :In this paper we have analyzed performance of free space optical (FSO) communication system in terms of BER (Bit Error Rate) based on various modulation schemes under the influence of different atmospheric turbulence conditions. This analysis is performed in light fog (attenuation is 4.285 dB/Km) condition. Modulation schemes utilized are OOK (On-off keying), BPSK (Binary phase shift keying), 16-PSK, 2-PPM (Pulse phase modulation), 16- PPM, 4-QAM, 16-QAM, DPSK (phase shift keying), 8-PAM (Pulse amplitude modulation) and 16-PAM. This analysis is performed in MATLAB tool. BER versus SNR graph is generated for all modulation techniques. Simulation is performed at 1550 nm wavelength. Atmospheric turbulence is weak turbulence (Cn2=8.4 x 10-15 m-2/3), moderate turbulence (C 2=1.7 x 10-14 m-2/3) and strong turbulence (C 2=5 x 10-14 m-2/3) |
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