Performance analysis of atmospheric Radar echoes using matched filter

Matched filter is often referred to as optimum filter. The most unique characteristic of the Matched Filter is that it produces the maximum achievable instantaneous SNR at its output when a signal plus additive white noise is present at the input. This paper presents a new algorithm for improving doppler profile detection of Radar echoes using Matched Filter. The algorithm is applied to the time series radar data obtained from the Mesosphere-Stratosphere-Troposphere (MST) region near Gadanki, Tirupati. This is a-priori based method of analysis of atmospheric radar signals where the information of the previous range bins is required. The performance of this algorithm is compared with FFT (Fast Fourier Transform) for two different radar data sets. The merits and limitations of this method of detecting dopplers in comparison to FFT are discussed.