Feedback median filter for robust preprocessing of glint noise

Dah Chung Chang, Wen-Rong Wu

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Glint noise may arise in a target tracking system. The non-Gaussian behavior of glint noise can severely degrade the tracking performance. Measurement preprocessing at the front-end of the tracker is an effective method to reduce glint noise. The preprocessor proposed by Hewer, Martin, and Zeh, which used the computationally intensive M-estimator, may not be suitable for practical implementation. An alternative method employing the median filter is studied here. The median filter is well known for its simplicity and robustness. However, the efficiency of the median filter can be seriously degraded if input samples are not identically distributed. This is what we may encounter in the tracking problem. A feedback median filter is then proposed to overcome this impediment without substantially increasing complexity. Simulations show that the new preprocessor can greatly improve tracking performance in the glint noise environment.

Original languageEnglish
Pages (from-to)1026-1035
Number of pages10
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume36
Issue number4
DOIs
StatePublished - 1 Oct 2000

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