Title
CFAR processing with switching exponential smoothers for nonhomogeneous environments
Abstract
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).
Year
DOI
Venue
2012
10.1016/j.dsp.2012.01.007
Digital Signal Processing
Keywords
Field
DocType
cfar processing,clutter edge,homogeneous environment,order iir filter,conventional constant false alarm,nonhomogeneous environment,iir cfar method,small memory requirement,large time-constant,fixed number,small time,exponential smoothers,exponential smoother
Mathematical optimization,Exponential function,Homogeneous,First order,Computer science,Clutter,Infinite impulse response,Algorithm,Real-time computing,Constant false alarm rate,Time constant,Computation
Journal
Volume
Issue
ISSN
22
3
1051-2004
Citations 
PageRank 
References 
1
0.41
4
Authors
3
Name
Order
Citations
PageRank
Berk Gurakan123312.49
Çağatay Candan212611.13
Tolga Çiloğlu381.52