Title :
Robust target detection using order statistic filters
Author :
Saniie, J. ; Nagle, D.T. ; Donohue, K.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
A theoretical analysis of order statistic processors for improved target detection is presented. The sort function is used to provide insight into the optimal rank for detection of various targets and clutter environments where observations are independent and identically distributed. When observations do not contain identical statistical information the analysis becomes more complex. Both simulation and experimental results are used to illustrate the extent of robustness that can be obtained from a particular rank in the presence of observations containing significant target information (i.e. null observations)
Keywords :
filtering and prediction theory; radar clutter; radar theory; signal detection; clutter environments; identical statistical information; null observations; optimal rank; order statistic filters; order statistic processors; robustness; sort function; target detection; Clutter; Density functional theory; Detectors; Equations; Filters; Object detection; Robustness; Sonar detection; Statistical analysis; Statistics;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101798
