Benchmarking Nonlinear Filters
Niilo Sirola, Simo Ali‐Löytty, Robert Piché · 2006
Algorithm developers need relevant and practical criteria to evaluate and compare the performance of different discrete-time filters or filter variants. This paper discusses some pit-falls in different approaches and proposes a combination of criteria on which to base comparisons. A comparison of eight filters for a class of hybrid personal positioning problems is presented as an example.