Litcius/Paper detail

A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar

Du Yong Kim, Branko Ristić, Robin Guan, Luke Rosenberg

2021IEEE Transactions on Aerospace and Electronic Systems41 citationsDOI

Abstract

This article is devoted to the problem of multitarget tracking in the maritime environment using Bernoulli track-before-detect (TBD) filtering. Detection and tracking of weak targets in sea clutter using high-resolution airborne radar is notoriously challenging compared to classical target tracking problems. Furthermore, the measured amplitude in range-azimuth cells that are in the vicinity of closely spaced (interacting) targets represents a superposition of individual target contributions, demanding a special joint treatment. This article proposes a novel solution for multitarget tracking using Bernoulli TBD for maritime radar and covers cases when targets are both far apart and closely spaced. Comparisons with existing TBD algorithms are used to verify the efficacy of the proposed Bernoulli TBD algorithm with realistic sea clutter simulations used to create challenging scenarios with variable target strengths.

Topics & Concepts

Track-before-detectClutterRadar trackerComputer scienceRadarStationary target indicationLow probability of intercept radarTracking (education)AzimuthArtificial intelligenceFilter (signal processing)Superposition principleBernoulli's principleComputer visionAlgorithmContinuous-wave radarRadar imagingEngineeringMathematicsTelecommunicationsAerospace engineeringPedagogyGeometryPsychologyMathematical analysisTarget Tracking and Data Fusion in Sensor NetworksRadar Systems and Signal ProcessingInfrared Target Detection Methodologies