DocumentCode :
3029012
Title :
Radar signal processing using digital nonlinear filters
Author :
Schleher, D. ; Kozin, F.
Author_Institution :
AIL, a division of CUTLER-HAMMER, Deer Park, N. Y.
Volume :
2
fYear :
1977
fDate :
28246
Firstpage :
854
Lastpage :
858
Abstract :
A fundamental digital signal processing technique is described that allows the synthesis of quasi-optimum nonlinear receivers for the detection of radar targets in clutter and noise. Methods for modeling radar signals as vector-Markov processes are described and compared with experimental data. Equations that describe an optimum receiver structure are derived. Approximate solutions for the optimum receiver equations are described and an algorithm suitable for digital implementation is given. A quasi-optimum nonlinear receiver for the detection of radar targets in correlated log-normal clutter and receiver noise is derived and its performance determined by simulating the resulting nonlinear digital receiver.
Keywords :
Markov processes; Nonlinear equations; Nonlinear filters; Process design; Radar clutter; Radar detection; Radar signal processing; Signal design; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77.
Type :
conf
DOI :
10.1109/ICASSP.1977.1170298
Filename :
1170298
Link To Document :
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