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Comparison of Matching Algorithms for MST Radar Data

S.DIVAKAR , DR. R.V.S.SATYANARAYANA

Atmospheric Signal processing has lot of scope for development of new and efficient tools for Cleaning of the spectrum, detection and estimation of the desired parameters. The purpose of this project is to study the data processing techniques and the matching algorithms for the MST Radar. This project deal with signal and data processing techniques. The proposed algorithms estimate the similarities between the signatures. We evaluated the following algorithms SAD (Sum of Absolute Difference), SSD (Sum of Squared Difference), ED (Euclidean Distance) and Correlation.