Range sidelobe suppression for pulse compression radars utilizing modified RLS algorithm

This paper analyses the possibility of using the modified recursive method of least squares as a transversal filter coefficients evaluation algorithm which is efficient in self-clutter suppression for phase-coded radar signals. The obtained results are compared with the best results reported in solv...

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Hauptverfasser: Zrnic, B., Zejak, A., Petrovic, A., Simic, I.
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Zejak, A.
Petrovic, A.
Simic, I.
description This paper analyses the possibility of using the modified recursive method of least squares as a transversal filter coefficients evaluation algorithm which is efficient in self-clutter suppression for phase-coded radar signals. The obtained results are compared with the best results reported in solving this problem, obtained by using iterative reweighted least squares (IRLS) procedure.
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ispartof 1998 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333), 1998, Vol.3, p.1008-1011 vol.3
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adaptive filters
Algorithm design and analysis
Clutter
Iterative algorithms
Least squares methods
Matched filters
Pulse compression methods
Radar
Resonance light scattering
Transversal filters
title Range sidelobe suppression for pulse compression radars utilizing modified RLS algorithm
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