CFAR processing with switching exponential smoothers for nonhomogeneous environments

Date

2012-05-01

Author

GURAKAN, Berk
Candan, Çağatay
Çiloğlu, Tolga

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Conventional constant false alarm rate (CFAR) methods use a fixed number of cells to estimate the background variance. For homogeneous environments, it is desirable to increase the number of cells, at the cost of increased computation and memory requirements, in order to improve the estimation performance. For nonhomogeneous environments, it is desirable to use less number of cells in order to reduce the number of false alarms around the clutter edges. In this work, we present a solution with two exponential smoothers (first order IIR filters) having different time-constants to leverage the conflicting requirements of homogeneous and nonhomogeneous environments. The system is designed to use the filter having the large time-constant in homogeneous environments and to promptly switch to the filter having the small time constant once a clutter edge is encountered. The main advantages of proposed Switching IIR CFAR method are computational simplicity, small memory requirement (in comparison to windowing based methods) and its good performance in homogeneous environments (due to the large time-constant smoother) and rapid adaptation to clutter edges (due to the small time-constant smoother).

Subject Keywords

CFAR detection, Nonhomogeneous clutter, Exponential smoother

URI

https://hdl.handle.net/11511/46606

Journal

DIGITAL SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.dsp.2012.01.007

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

B. GURAKAN, Ç. Candan, and T. Çiloğlu, “CFAR processing with switching exponential smoothers for nonhomogeneous environments,” DIGITAL SIGNAL PROCESSING, pp. 407–416, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46606.