Use of adaptive filtering techniques and deconvolution to obtain low range sidelobe samples

TL;DR

This paper explores adaptive filtering and deconvolution methods to improve sidelobe suppression and sensitivity in weather radar signals, demonstrating enhanced performance over traditional techniques.

Contribution

It introduces adaptive filtering with RLS optimization for sidelobe reduction, comparing its effectiveness against existing methods.

Findings

Adaptive filtering improves peak sidelobe suppression.

RLS-optimized coefficients outperform traditional techniques.

Enhanced radar sensitivity achieved through proposed methods.

Abstract

In this paper the use of adaptive filtering techniques to obtain better peak sidelobe suppression and integrated sidelobe energy will be discussed with regard to weather radars and obtaining better sensitivity with this technique. The performance of these new coefficient sets obtained with adaptive filter (using RLS optimization) will be discussed and presented. They will also be compared with the existing techniques and their peak sidelobe levels.