DocumentCode :
279522
Title :
Design of optimum mean square sidelobe suppression filters for Barker codes
Author :
Jung, K.T. ; Kim, C.J. ; Lim, C.H. ; Lee, H.S. ; Kwag, Y.K.
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
fYear :
1992
fDate :
12-13 Oct 1992
Firstpage :
530
Lastpage :
533
Abstract :
This paper proposes a new filter design algorithm to obtain the coefficients of the Rihaczeck-Golden filter using the Lagrange multiplier method. This formulation is regarded as one of the least square algorithm. In general, minimization of peak sidelobe level is required in a nonuniformly distributed clutter environment and minimization of mean square sidelobe level in a uniformly distributed clutter environment. Therefore one can use the proposed algorithm for the latter
Keywords :
codes; correlation theory; least squares approximations; matched filters; radar clutter; radar theory; Barker codes; Lagrange multiplier method; filter design algorithm; least square algorithm; optimum mean square sidelobe suppression filters; radar; uniformly distributed clutter environment;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Radar 92. International Conference
Conference_Location :
Brighton
Print_ISBN :
0-85296-553-2
Type :
conf
Filename :
187159
Link To Document :
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