Gaussian mixture probability hypothesis density filter against measurement origin uncertainty

Dohyeung Kim; Cheolhyeon Kwon; Inseok Hwang

doi:10.1016/j.sigpro.2019.107448

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Gaussian mixture probability hypothesis density filter against measurement origin uncertainty

Dohyeung Kim Cheolhyeon Kwon Inseok Hwang

Year: 2020 Journal: Signal Processing Vol: 171 Pages: 107448-107448 Publisher: Elsevier BV

DOI: 10.1016/j.sigpro.2019.107448

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Keywords:

Clutter Covariance Filter (signal processing) Gaussian Measurement uncertainty Algorithm Noise (video) Observational error Mathematics Computer science Statistics Probability density function Gaussian noise Artificial intelligence Physics Computer vision Radar Telecommunications

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Radar Systems and Signal Processing

Physical Sciences → Engineering → Aerospace Engineering

Gaussian mixture probability hypothesis density filter against measurement origin uncertainty

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