ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES
EL- GAYAR, M., AL-HUSSAINI, E., HASSAN, A. (1987). ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES. EKB Journal Management System, 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO), 1037-1044. doi: 10.21608/asat.1987.26198
M. E. EL- GAYAR; E. K. AL-HUSSAINI; A. F. HASSAN. "ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES". EKB Journal Management System, 2, A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO, 1987, 1037-1044. doi: 10.21608/asat.1987.26198
EL- GAYAR, M., AL-HUSSAINI, E., HASSAN, A. (1987). 'ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES', EKB Journal Management System, 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO), pp. 1037-1044. doi: 10.21608/asat.1987.26198
EL- GAYAR, M., AL-HUSSAINI, E., HASSAN, A. ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES. EKB Journal Management System, 1987; 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO): 1037-1044. doi: 10.21608/asat.1987.26198

ROBUST GENERALIZED CROSS CORRELATOR FILTERS FOR THE 6- CONTAMINATED SPECTRAL CLASSES

International Conference on Aerospace Sciences and Aviation Technology
Article 41, Volume 2, A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO, April 1987, Page 1037-1044  XML PDF (1.36 MB)
Document Type: Original Article
DOI: 10.21608/asat.1987.26198
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Authors
M. E. EL- GAYAR1; E. K. AL-HUSSAINI2; A. F. HASSAN3
1Brig. Dr. Eng. Egyptian armed air force, signal departement.
2Associate professor, Dpt. of electronics and communication,Cairo Univ.
3Professor, Dpt. of electronics and communication, Cairo Univ.
Abstract
Basically, the solution of estimating the time delay between two signals received at two spatially separated sensors consists of cross correlating the sensor's output and using the time argument that corresponds to the maximum peak as the time delay estimate. To improve the estimation process, various optimum or heurestic filters have been suggested. Design of these filters requires the exact knowledge of the input spectra which is practicglly difficult. It would therefore be useful if fixed filters were specifically designed to have good performance over entire classes of input spectral densities. In this paper, robust solutions to the two optimum filters derived by Hassab and Boucher to estimate the time delay are derived. Explicit solutions for the c-contaminated power spectral densities (PSD's) will be given. Numerical examples are given to illustrate the benefits of using robust filters in time delay estimation (TDE). Simulation results are also given. The results obtained show that robust filters are the saddle point solutions for the c-contaminated spectral classes and ensure the advantages of robustness.
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