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Multiple‐critical‐pole coupled active filters
Author(s) -
Mijat N.,
Moschytz G. S.
Publication year - 1984
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.4490120306
Subject(s) - chebyshev filter , cascade , transfer function , realization (probability) , sensitivity (control systems) , filter (signal processing) , control theory (sociology) , active filter , network synthesis filters , function (biology) , mathematics , frequency response , topology (electrical circuits) , computer science , electronic engineering , engineering , mathematical analysis , voltage , statistics , combinatorics , chemical engineering , artificial intelligence , evolutionary biology , electrical engineering , computer vision , biology , control (management)
In this paper realizations of low sensitivity narrow BP active filters implementing multiple‐critical‐pole (MCP) approximation methods and coupled filter structures are studied. In the first part of the paper, a synthesis procedure particularly developed for the realization of MCP transfer functions is described. According to that procedure the portion of the MCP transfer function containing multiple poles is realized as a follow‐the‐leader feedback (FLF) network, and the remaining part as a cascade. It is shown that the lower sensitivities of MCP functions in comparison with standard approximating functions (Butterworth, Chebyshev, etc.) can be further decreased by applying the FLF configuration instead of the cascade. the synthesis procedure is straightforward and in some cases it can be performed using identical second‐order BP blocks. the final circuit sensitivities can be optimized according to given filter specifications and a user selected optimization criterion. In the second part of the paper, the MCP transfer functions are combined with the cascaded biquarts (CBQ), the shifted companion form (SCF), and the leap‐frog (LF) structures, and sensitivity analysis is performed. It is shown that applications of the above mentioned structures can improve the filter sensitivites in a way similar to that of the given FLF configuration.