EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS
Hassan, A., Hussien, M., EL sherif, A., Maamoun, M. (1985). EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS. EKB Journal Management System, 1(A.S.A.T. CONFERENCE 14-16 May 1985 r CAIRO), 1161-1169. doi: 10.21608/asat.1985.26584
A. F. Hassan; M. Hussien; A. S. EL sherif; M. H. Maamoun. "EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS". EKB Journal Management System, 1, A.S.A.T. CONFERENCE 14-16 May 1985 r CAIRO, 1985, 1161-1169. doi: 10.21608/asat.1985.26584
Hassan, A., Hussien, M., EL sherif, A., Maamoun, M. (1985). 'EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS', EKB Journal Management System, 1(A.S.A.T. CONFERENCE 14-16 May 1985 r CAIRO), pp. 1161-1169. doi: 10.21608/asat.1985.26584
Hassan, A., Hussien, M., EL sherif, A., Maamoun, M. EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS. EKB Journal Management System, 1985; 1(A.S.A.T. CONFERENCE 14-16 May 1985 r CAIRO): 1161-1169. doi: 10.21608/asat.1985.26584

EFFECT OF NON GAUSSIAN WEATHER CLUTTER ON PERFORMANCE OF CLUTTER-SUPPRESSION FILTERS

International Conference on Aerospace Sciences and Aviation Technology
Article 92, Volume 1, A.S.A.T. CONFERENCE 14-16 May 1985 r CAIRO, May 1985, Page 1161-1169  XML PDF (1.21 MB)
Document Type: Original Article
DOI: 10.21608/asat.1985.26584
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Authors
A. F. Hassan1; M. Hussien2; A. S. EL sherif2; M. H. Maamoun3
1Prof.Dr.Eng., Cairo University.
2Dr.Eng., Military Technical College.
3Eng., Armed Forces.
Abstract
In this paper it is investigated the performance of clutter suppression filters in non Gaussian clutter. The model chosen is Log-normal clutter and the filters considered are the optimum MTI filter and the linear prediction error filter. The performance of both types of filters in Gaussian clutter as expressed by the improvement factor (I.F) is computed for different number of pulses N and different values of correlation coefficient . The results show that the optimal improvement factor is degraded for input non Gaussian clutter. While this situation can be improved if the complex weights are adjusted in correspondence with the covariance matrix of the Log-normal clutter. Comparison of performance of the two types ,of filters for different values of parameters is illust-rated quantitavely in graphical form.
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