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Enhanced Matched Filtering for Investigating Eye Diagrams in Baseband Binary Transmission
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The aim of this paper is to study the performance of a matched filter for baseband binary transmission when subjected to Gaussian noise. A BER performance simulation model is created which consists of a BPSK encoder, a transmission SQRC filter, a Gaussian noise generator, a receive SQRT filter and a BPSK decoder. A Monte Carlo simulation technique is used to determine the dependency of BER performance on the signal to noise ratio. A MATLAB program and a MATLAB SIMULINK program was written to generate the required data. The MATLAB results show good agreement with statistical theoretical predictions.
Title: Enhanced Matched Filtering for Investigating Eye Diagrams in Baseband Binary Transmission
Description:
The aim of this paper is to study the performance of a matched filter for baseband binary transmission when subjected to Gaussian noise.
A BER performance simulation model is created which consists of a BPSK encoder, a transmission SQRC filter, a Gaussian noise generator, a receive SQRT filter and a BPSK decoder.
A Monte Carlo simulation technique is used to determine the dependency of BER performance on the signal to noise ratio.
A MATLAB program and a MATLAB SIMULINK program was written to generate the required data.
The MATLAB results show good agreement with statistical theoretical predictions.
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