A NEW APPROACH BASED ON WAVELET NERO GENETIC NETWORK FOR AUTOMATIC TARGET RECOGNITION WITH X-BAND DOPPLER RADAR

A NEW APPROACH BASED ON WAVELET NERO GENETIC NETWORK FOR AUTOMATIC TARGET RECOGNITION WITH X-BAND DOPPLER RADAR

[1]  M. W. Roth Survey of neural network technology for automatic target recognition , 1990, IEEE Trans. Neural Networks.

[2]  Hichem Sahli,et al.  Signal processing and pattern recognition methods for radar AP mine detection and identification , 1998 .

[3]  Evangelia Micheli-Tzanakou,et al.  Supervised and unsupervised pattern recognition: feature extraction and computational intelligence , 2000 .

[4]  Ahmed H. Tewfik,et al.  Waveform selection in radar target classification , 2000, IEEE Trans. Inf. Theory.

[5]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[6]  Qinghua Zhang,et al.  Using wavelet network in nonparametric estimation , 1997, IEEE Trans. Neural Networks.

[7]  In-Sik Choi,et al.  Efficient radar target classification using adaptive joint time-frequency processing , 2000 .

[8]  Louis L. Scharf,et al.  Stochastic time-frequency analysis using the analytic signal: why the complementary distribution matters , 2003, IEEE Trans. Signal Process..

[9]  Guangyi Chen,et al.  Applications of wavelet transforms in pattern recognition and de-noising , 1999 .

[10]  David H. Kil,et al.  Pattern Recognition and Prediction with Applications to Signal Processing (Aip Series in Modern Acoustics and Signal Processing) , 1998 .

[11]  A. Grossmann,et al.  DECOMPOSITION OF HARDY FUNCTIONS INTO SQUARE INTEGRABLE WAVELETS OF CONSTANT SHAPE , 1984 .

[12]  D. H. Kil,et al.  Pattern recognition and prediction with applications to signal characterization , 1996 .

[13]  G. P. Noone,et al.  A neural approach to automatic pulse repetition interval modulation recognition , 1999, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

[14]  Z. Swiatnicki,et al.  The artificial intelligence tools utilization in radar signal processing , 1998, 12th International Conference on Microwaves and Radar. MIKON-98. Conference Proceedings (IEEE Cat. No.98EX195).

[15]  J. R. Casar Corredera,et al.  A neural network approach to Doppler-based target classification , 1992 .

[16]  Azriel Rosenfeld,et al.  Computer Vision , 1988, Adv. Comput..

[17]  A. Marshak,et al.  Wavelet-Based Multifractal Analysis of Non-Stationary and/or Intermittent Geophysical Signals , 1994 .

[18]  Yu Shi,et al.  A Gabor atom network for signal classification with application in radar target recognition , 2001, IEEE Trans. Signal Process..

[19]  Thomas Foster,et al.  Application of Pattern Recognition Techniques for Early Warning Radar , 1995 .

[20]  Ahmet Arslan,et al.  Optimisation of the performance of neural network based pattern recognition classifiers with distributed systems , 2001, Proceedings. Eighth International Conference on Parallel and Distributed Systems. ICPADS 2001.

[21]  S. Haykin,et al.  Maximum-entropy spectral analysis of radar clutter , 1982, Proceedings of the IEEE.

[22]  P. Burns Radar Systems Analysis and Design Using MA TLAB - Second Edition [Book Review] , 2006, IEEE Aerospace and Electronic Systems Magazine.

[23]  S. J. Roome Classification of radar signals in modulation domain , 1992 .

[24]  Sergio Barbarossa,et al.  A novel procedure for detecting and focusing moving objects with SAR based on the Wigner-Ville distribution , 1990, IEEE International Conference on Radar.

[25]  Ahmet Arslan,et al.  An expert system for diagnosis of the heart valve diseases , 2002, Expert Syst. Appl..