Title :
Two CFAR algorithms for interfering targets and nonhomogeneous clutter
Author :
Wilson, Sanford L.
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fDate :
1/1/1993 12:00:00 AM
Abstract :
The greatest-of-order statistics estimator (GOOSE) constant false alarm rate (CFAR) and the censored greatest-of (CGO) CFAR are described. Both are designed to accommodate interfering targets in the reference window as well as control false alarms in the presence of clutter boundaries. Both succeed in accomplishing these tasks although the CGO-CFAR is preferred as it has a designed graceful degradation as the number of interfering targets exceeds the number of samples censored. The advantage of the GOOSE-CFAR is a theoretical one in that one can derive analytical results for clutter boundary analysis and thus not have to resort to simulations
Keywords :
estimation theory; radar clutter; signal processing; statistical analysis; CFAR algorithms; clutter boundaries; constant false alarm rate; control false alarms; interfering targets; nonhomogeneous clutter; reference window; statistics estimator; Aerospace and electronic systems; Algorithm design and analysis; Analytical models; Degradation; Laboratories; Random variables; Statistics; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
