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 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).
| Original language | English |
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| Pages | 75-78 |
| Number of pages | 4 |
| State | Published - 1990 |
| Event | Proceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2) - Champaign, IL, USA Duration: Aug 14 1989 → Aug 16 1989 |
Conference
| Conference | Proceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2) |
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| City | Champaign, IL, USA |
| Period | 8/14/89 → 8/16/89 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering