Implementation of Bayesian Techniques for Demodulation
نویسندگان
چکیده
Demodulation of received signals for a known channel parameters over Rayleigh fading channel is done by BEM (Bayesian Estimation Maximization) algorithm using MAP (Maximum A Posteriori) Probability decisions. Simulation results were produced using this demodulator for the specified mobile satellite based trans-receiver system to find the BER (Bit Error Rate). Comparisons are made to that of a QPSK (Quadrature Phase Shift Keying) demodulator to show that the performance is better in our designed demodulator with respect to BER. These simulation results are produced using Matlab platform. Keywords— Bayesian Demodulator, Deconvolution Methods, Bayesian Estimation Methods, CPM, Bayesian Estimation Maximization.
منابع مشابه
Design and Implementation of Digital Demodulator for Frequency Modulated CW Radar (RESEARCH NOTE)
Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...
متن کاملPredicting Twist Condition by Bayesian Classification and Decision Tree Techniques
Railway infrastructures are among the most important national assets of countries. Most of the annual budget of infrastructure managers are spent on repairing, improving and maintaining railways. The best repair method should consider all economic and technical aspects of the problem. In recent years, data analysis of maintenance records has contributed significantly for minimizing the costs. B...
متن کاملRolling Bearing Fault Analysis by Interpolating Windowed DFT Algorithm
This paper focuses on the problem of accurate Fault Characteristic Frequency (FCF) estimation of rolling bearing. Teager-Kaiser Energy Operator (TKEO) demodulation has been applied widely to rolling bearing fault detection. FCF can be extracted from vibration signals, which is pre-treatment by TEKO demodulation method. However, because of strong noise background of fault vibration signal, it is...
متن کاملA Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis
Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کاملA Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis
Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کامل