This article addresses the problem of radar pulse compression. First, a matched filter at the receiver is assumedand a method to design a transmit waveform characterized by an autocorrelation function with a narrow mainlobe and low sidelobes is proposed. After that, a mismatched filter is considered and a method to design the optimum linear filter receiver is proposed. In both cases, the pursued objectives are minimum sidelobe energy and peak level through a strategy based on quadratic and nonlinear optimization. In this article, we focus particularly on the case of ground weather radars, where the problem of pulse compression is particularly challenging.

Radar Pulse Compression Methods Based on Nonlinear and Quadratic Optimization / Fabrizio Argenti; Luca Facheris. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 59:(2021), pp. 3904-3916. [10.1109/tgrs.2020.3010414]

Radar Pulse Compression Methods Based on Nonlinear and Quadratic Optimization

Fabrizio Argenti;Luca Facheris
2021

Abstract

This article addresses the problem of radar pulse compression. First, a matched filter at the receiver is assumedand a method to design a transmit waveform characterized by an autocorrelation function with a narrow mainlobe and low sidelobes is proposed. After that, a mismatched filter is considered and a method to design the optimum linear filter receiver is proposed. In both cases, the pursued objectives are minimum sidelobe energy and peak level through a strategy based on quadratic and nonlinear optimization. In this article, we focus particularly on the case of ground weather radars, where the problem of pulse compression is particularly challenging.
2021
59
3904
3916
Goal 9: Industry, Innovation, and Infrastructure
Fabrizio Argenti; Luca Facheris
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1205671
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