Detection of MST Radar Signals
نویسندگان
چکیده
An efficient algorithm based on Empirical Mode Decomposition (EMD) de-noising using soft 10 threshold techniques for accurate doppler profile detection and Signal to Noise Ratio (SNR) improvement of 11 MST Radar Signals is discussed in this paper. Hilbert Huang Transform (HHT) is a time-frequency analysis 12 technique for processing radar echoes which constitutes EMD process that decomposes the non-stationary 13 signals into Intrinsic Mode Functions (IMFs). HHT process has been applied on the time series data of MST 14 (Mesosphere-Stratosphere–Troposphere) radar collected from NARL (National Atmospheric research 15 Laboratory), Gadanki, India. Further, spectral moments were estimated and signal parameters such as mean 16 doppler, signal power, noise power and SNR were calculated. Stacked doppler profile was plotted to observe the 17 improvement in doppler detection. It has been observed that there is a considerable improvement in recognition 18 of the doppler echo leading to improved Signal Power and SNR. The algorithm was tested for its efficacy on 19 various data sets for all the 6 beams and the results of two data sets are presented. 20
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