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Proceedings Paper

Discussion and application of the homotopy filter
Author(s): Sora Choi; Peter Willett; Fred Daum; Jim Huang
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Paper Abstract

Development of the novel homotopy, or particle-flow, nonlinear filters1-10 has recently been quite rapid. There is actually a whole family of such methods, so we will refer to these collectively in this paper as "DH" filters, after their developers, the third and fourth authors of this manuscript. Unlike a particle filter, a DH filter does not resample; instead, the particles are moved in a smooth way, from a space that reflects prior (predicted) knowledge to one that is updated according to the measurements. Working versions of several DH filters now exist, and the purpose of this paper is to attempt to provide some perspective on them. We stress that this paper discusses the efforts of the first two authors to learn about and to explain in their own terms these these filters that others might benefit from that. The latter pair of authors - these are the developers of the DH filter family - have been instrumental in this effort. But it must be noted that they continue to develop their algorithms, and that this paper represents a snapshot of a rapidly changing landscape.

Paper Details

Date Published: 5 May 2011
PDF: 12 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805021 (5 May 2011); doi: 10.1117/12.886385
Show Author Affiliations
Sora Choi, Univ. of Connecticut (United States)
Peter Willett, Univ. of Connecticut (United States)
Fred Daum, Raytheon (United States)
Jim Huang, Raytheon (United States)


Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)

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