Abstract
Shadow-feature-enhanced radar detection algorithms potentially allow the probability of target detection to be substantially increased when a target casts a radar shadow across a region of clutter beyond it. However, when the length of the radar shadow is not correctly known, much of the potential performance gain may be lost. We demonstrate a method for estimating the length of the radar shadow using a simple fuzzy system. We apply the shadow length estimation to the shadow-feature-enhanced ML-CFAR detector, showing that its performance can be greatly improved when the shadow length is not known a priori. © 2001 IEEE
| Original language | English |
|---|---|
| Title of host publication | The 10th IEEE International Conference on Fuzzy Systems |
| Publisher | IEEE |
| Pages | 115-118 |
| Volume | 1 |
| ISBN (Print) | 0-7803-7293-X |
| DOIs | |
| Publication status | Published - Dec 2001 |
| Event | 10th IEEE International Conference on Fuzzy Systems - The University of Melbourne, Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001 |
Conference
| Conference | 10th IEEE International Conference on Fuzzy Systems |
|---|---|
| Place | Australia |
| City | Melbourne |
| Period | 2/12/01 → 5/12/01 |
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