A new algorithm for Doppler profile detection of Radar echoes using Matched Filter is developed in this paper. The algorithm is applied to the time series radar data obtained from the mesosphere- stratosphere- troposphere (MST) region near Gadanki, Tirupati 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 presents a new technique adopted when information regarding all the range bins is available and the processing load can be handled. The results are compared with the traditional FFT technique and are presented for the performance evaluation. The merits and limitations of this method of detecting dopplers in comparison to FFT are discussed.

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Analysis Of Atmospheric Radar Echoes Using Fft And Matched Filter For Doppler Profile Detection

0*, S. Varadarajan**
* Research Scholar, S.V.U College of Engineering, Tirupati
** Professor of ECE, S.V.U College of Engineering, Tirupati
Periodicity:February - April'2012
DOI : https://doi.org/10.26634/jcs.1.2.1769

Abstract

A new algorithm for Doppler profile detection of Radar echoes using Matched Filter is developed in this paper. The algorithm is applied to the time series radar data obtained from the mesosphere- stratosphere- troposphere (MST) region near Gadanki, Tirupati 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 presents a new technique adopted when information regarding all the range bins is available and the processing load can be handled. The results are compared with the traditional FFT technique and are presented for the performance evaluation. The merits and limitations of this method of detecting dopplers in comparison to FFT are discussed.

Keywords

Radar signals, SNR, Matched filter, FFT, Dopplers.

How to Cite this Article?

Padmaja, N. and Varadarajan, S. (2012). Analysis Of Atmospheric Radar Echoes Using FFT And Matched Filter For Doppler Profile Detection. i-manager’s Journal on Communication Engineering and Systems, 1(2), 1-5. https://doi.org/10.26634/jcs.1.2.1769

References

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[3]. Giannakis, G.B., and Tsatsanis, M.K. (1990). “Signal Detection and classification using Matched Filtering and Higher order statistics”, IEEE Transactions on Accoustic Speech Signal Processing, Vol. 38, pp 284-296.
[4]. Rottger, J. (1984). “The MST radar technique in Hand Book for MAP,” edited by R.A. Vincent. Vol. 3, pp 187-232.
[5]. Skolinik, M.I. (1980). “Introduction to Radar systems”, 2nd ed., McGraw-Hill, New York.
[6]. Gold, B., and Rader, C. (1969). “Digital Processing of Signals”, Lincoln Laboratory Journal, pp. 297-320, McGraw- Hill, New York.
[7]. Proakis John, G., and Dimitris G. Manolakis, (1996). “Digital signal processing,” 3rd Ed., Printice Hall.
[8]. Gabor, D. (1946). “Theory of Communication”, Journal of Institute for Electrical Engineers, Vol.93, pp. 429-439.
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