Range sidelobe suppression for pulse compression radars utilizing modified RLS algorithm

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.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive filters
Algorithm design and analysis
Clutter
Iterative algorithms
Least squares methods
Matched filters
Pulse compression methods
Radar
Resonance light scattering
Transversal filters
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ISSSTA.1998.722532