Non-Parametric Spectrum Estimation of Real Sinusoid

Abstract

The Estimation theory is a branch of the statistical signal processing that deal with the decision making and the extraction of relevant information from noisy data. In many electronic signal processing systems are designed to decide when an event of interest occurs and then extract more information about that event. Estimation theory can be found at the core of those systems. Spectrum Estimation of Non-parametric methods precisely estimate an unknown distribution where the number of parameters are high. Non Parametric estimation are asymptotically infinite with the number of samples or observations. This thesis deals with studying, simulation and comparison of different non parametric methods. Real time spectrum estimation was done to reduce spectral leakage. Kaiser window had least RMSE value, near to CR bound. Frequency estimation for Real time data of FMCW Radar was done.