The maximum entropy method and its application to clutter cancellation

1 January 1987

book chapter
Published by Institution of Engineering and Technology (IET)

p. 29-38
https://doi.org/10.1049/pbra001e_ch5

Abstract

Two high resolution techniques for spectral estimation of random processes are described. The estimate is obtained from samples of the autocorrelation function or directly from samples of the process. These techniques are based on the Maximum Entropy Method (MEM). After a review of the main points of this method, an application to radar system is shown in detail. First, the estimation of clutter spectrum is considered; then, this estimate is exploited to shape a filter for clutter cancellation and target echo enhancement. The processing algorithm is an adaptive one, and its performances are evaluated, by means of computer simulation, in term of Improvement Factor and speed of adaptation.

Keywords

RADAR SIGNAL PROCESSING
COMPUTER SIMULATION
TARGET ECHO ENHANCEMENT
AUTOCORRELATION FUNCTION
IMPROVEMENT FACTOR
CLUTTER CANCELLATION
CLUTTER SPECTRUM ESTIMATION
SPECTRAL ESTIMATION
MEM
RANDOM PROCESS
ADAPTATION SPEED
MAXIMUM ENTROPY METHOD
RADAR SYSTEM
FILTER ESTIMATION

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