Litcius/Paper detail

Radar Pulse Compression Methods Based on Nonlinear and Quadratic Optimization

Fabrizio Argenti, Luca Facheris

2020IEEE Transactions on Geoscience and Remote Sensing23 citationsDOI

Abstract

This article addresses the problem of radar pulse compression. First, a matched filter at the receiver is assumed and 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.

Topics & Concepts

Pulse compressionMatched filterRadarWaveformComputer scienceFilter (signal processing)AutocorrelationAmbiguity functionNonlinear filterFilter designQuadratic equationNonlinear systemAcousticsPhysicsTelecommunicationsMathematicsGeometryComputer visionStatisticsQuantum mechanicsRadar Systems and Signal ProcessingAntenna Design and OptimizationPrecipitation Measurement and Analysis