Conference
Online clutter estimation using a Gaussian kernel density estimator for target tracking
Abstract
In this paper, based on non-homogeneous Poisson point processes (NHPP), a kernel clutter spatial intensity estimation method is proposed. Here, the clutter spatial intensity estimation problem is decomposed into two parts: (1) estimate the probability distribution of the clutter number per scan; (2) estimate the spatial variation of the clutter intensity in the measurement space. Under the NHPP assumption, the empirical mean is used to get a …
Authors
Chen X; Tharmarasa R; Kirubarajan T; Pelletier M
Publication Date
September 13, 2011
Conference proceedings
Fusion 2011 14th International Conference on Information Fusion