<?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><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%">Donka Angelova</style></author><author><style face="normal" font="default" size="100%">Boryana Vassileva</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Tracking Filters for Radar Systems with Correlated Measurement Noise</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%">data processing; target tracking; adaptive estimation; linear prediction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">90-101</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">An algorithm and computer simulation results for radar data processing are presented in this work. Tracking filter for systems with colored measurement noise is developed. A measurement difference approach and state space partition is used as a decorrelation scheme. The measurement noise is modeled as a first order Autoregressive (AR) process. A new technique for adaptive evaluation of the AR parameters is proposed since in practice they are usually unknown. The realized algorithm, which is appropriate for on-line processing, is incorporated into the Interacting Multiple Model (IMM) estimation algorithm for tracking maneuvering objects. The results from Monte Carlo simulation show that the suggested algorithm provides almost the same tracking accuracy as in the case of exactly known AR parameters and better estimation capabilities compared to the undecorrelated measurement error. The substantial improvement in velocity and acceleration estimation is particularly useful in missile guidance and situation of abrupt changes in acceleration, induced by the pilot.</style></abstract></record></records></xml>