Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby
Abstract
A sensor management method for joint multitarget search and track problems is proposed, where a single user-defined parameter allows for a tradeoff between the two objectives. The multitarget density is propagated using the Poisson multi-Bernoulli mixture filter, which eliminates the need for a separate handling of undiscovered targets and provides the theoretical foundation for a unified search and track method. Monte Carlo simulations of two scenarios are used to evaluate the performance of the proposed method.
Topics & Concepts
Poisson distributionMonte Carlo methodTrack (disk drive)Bernoulli's principleComputer scienceFilter (signal processing)AlgorithmRadar trackerMathematical optimizationMathematicsEngineeringStatisticsComputer visionRadarTelecommunicationsOperating systemAerospace engineeringTarget Tracking and Data Fusion in Sensor NetworksGuidance and Control SystemsMilitary Defense Systems Analysis