A newfamily of robust non Gaussian detectors based on a geometric heuristic

@article{Rabaste2011ANO,
  title={A newfamily of robust non Gaussian detectors based on a geometric heuristic},
  author={Olivier Rabaste and Nicolas Trouve},
  journal={2011 19th European Signal Processing Conference},
  year={2011},
  pages={2059-2063}
}
This paper addresses the detection problem in moderately non-Gaussian environments. We first propose an analysis of the classical Gaussian and SIRV detectors from a new point of view. We define a robustness criteria with respect to signal mismatch and we demonstrate that the non-Gaussian detector is robust only for small mismatches. We then propose a new family of detectors based on a geometric heuristic that exploits advantages of both Gaussian and non-Gaussian detectors. This new family is… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-2 of 2 extracted citations

Shape-parameter-dependent coherent radar target detection in K-distributed clutter

IEEE Transactions on Aerospace and Electronic Systems • 2016
View 4 Excerpts
Highly Influenced

Geometrical design of radar detectors in moderately impulsive noise

IEEE Transactions on Aerospace and Electronic Systems • 2014
View 2 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 10 references

High resolution radar clutter statistics

V. Anastassopoulos, G. Lampropoulos, A. Drosopoulos, M. Rey
IEEE Trans. Aero. and Elec. Sys., • 1999
View 1 Excerpt

Statistical analyses of measured radar ground clutter data

J. Billingsley, A. Farina, F. Gini, M. Greco, L. Verrazzani
IEEE Trans. Aero. and Elec. Sys., • 1999
View 1 Excerpt

Fundamentals of Statistical Signal Processing. Detection theory

S. Kay
1998
View 1 Excerpt

Matched subspace detectors

IEEE Trans. Signal Processing • 1994
View 2 Excerpts

Similar Papers

Loading similar papers…