Advanced signal processing techniques for multi-target tracking

The multi-target tracking problem essentially involves the recursive joint estimation of the state of unknown and time-varying number of targets present in a tracking scene, given a series of observations. This problem becomes more challenging because the sequence of observations is noisy and can be...

Full description

Saved in:
Bibliographic Details
Main Author: Abdullahi Daniyan
Format: Default Thesis
Published: 2018
Subjects:
Mechanical engineering not elsewhere classified
Target tracking
Bayesian inference
Bayesian estimation
Signal Processing
Kalman filter
Random finite sets
RFS
Particle filter
PHD filter
Probability hypothesis filter
CPHD filter
Sequential Monte Carlo
Game theory
Regret matching
Correlated equilibrium
Passive radar
Statistical signal processing
Probability
GLMB
Labelled random finite sets
Kalman gain
Poisson mixture
B-spline
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/35277
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items