<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boryana Vassileva</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Effective Doppler Filtering Using Higher-Order Statistics</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">adaptive Doppler filtering</style></keyword><keyword><style  face="normal" font="default" size="100%">linear prediction.</style></keyword><keyword><style  face="normal" font="default" size="100%">spectral analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1999</style></year></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">82-89</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Algorithm for moving target selection in the presence of clutter and wideband jammer is presented. The proposed algorithm includes whitening filter for the interference, followed by a matched filter for the useful signal. This cascade of filters is based  on higher-order statistics approach and maximum entropy pole estimations. The algorithm performance is investigated by means of the Monte Carlo simulation analysis. The obtained frequency resolution and improvement factor values ensure high quality of signal detection.</style></abstract></record></records></xml>