1. Bernoulli track‐before‐detect filter for maritime radar
- Author
-
Xuezhi Wang, Luke Rosenberg, Branko Ristic, Jason L. Williams, and Du Yong Kim
- Subjects
Radar tracker ,Computer science ,020206 networking & telecommunications ,02 engineering and technology ,Filter (signal processing) ,Track-before-detect ,law.invention ,Noise ,law ,0202 electrical engineering, electronic engineering, information engineering ,Clutter ,Electrical and Electronic Engineering ,Radar ,Point target ,Algorithm ,K-distribution - Abstract
In this work, the authors study the problem of detecting and tracking small targets using high-resolution maritime radar, where sea clutter is correlated in range, and its amplitude fluctuations are characterised by occasional spikes. To tackle this problem, they develop a Bernoulli track-before-detect filter, as the optimal recursive Bayesian detector/estimator of target state and its presence in noise. A realistic clutter model, in the form of the K -distribution with unknown distribution parameters, is adopted. Target amplitude fluctuations are also included in the model. The detection and tracking improvement are demonstrated by simulations and compared against a conventional point target tracking algorithm.
- Published
- 2020