| Paper: | SPTM-P13.1 | ||
| Session: | Detection and Classification | ||
| Time: | Friday, May 21, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps. | ||
| Title: | AN APPROACH BASED ON INFLUENCE FUNCTION TO EVALUATE ROBUSTNESS AND DETECTION PERFORMANCE OF CFAR DETECTORS | ||
| Authors: | Huadong Meng; Tsinghua University | ||
| Xiqin Wang; Tsinghua University | |||
| Hao Zhang; Tsinghua University | |||
| Yingning Peng; Tsinghua University | |||
| Abstract: | A method for evaluating both the robustness and detection performance of constant false alarm rate (CFAR) detectors is presented in this paper, which is based on the powerful methodology of influence function (IF) developed in the literatures on robust statistic. The robustness of different kinds of CFAR detectors can be evaluated and compared by calculating the first derivative of the false alarm probability (FAP) at an underlying distribution, which is named IF-FAP. From the analysis of IF-FAP, several conclusions are given here: the robustness of detector can be asymptotically represented by the IF of clutter power estimator, while the detection performance can be approximately evaluated by the asymptotic variance of clutter power estimator which is an explicit functional of the corresponding IF. | ||
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