
Proceedings Paper
Design of passive filter circuit based on robust optimizationFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
In view on this change of filter performance by the deviation of circuit component parameter values from its design
values, the concept of robust optimization design for the passive filter circuit is presented. The function, that is to
minimize the ripples and maximal variations of system performance is chosen as the objective function. The
optimization strategy by combining random direction searching method with compound optimum was adopted for
solving this nonlinear programming problem with two-level optimization. This theory is used on an 800MHz transmitter
bandpass filter circuit. By comparing with original design and conventional optimization, passband performance of the
robust optimized circuit is more flat and its fluctuation is more small when component parameters change within their
rated tolerance. So filter performance of the circuit is improved, and the method mentioned in this paper is effective and
superior.
Paper Details
Date Published: 13 March 2013
PDF: 5 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87840Z (13 March 2013); doi: 10.1117/12.2013935
Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)
PDF: 5 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87840Z (13 March 2013); doi: 10.1117/12.2013935
Show Author Affiliations
Hong Zhao, Shenyang Ligong Univ. (China)
Gang Chen, Shenyang Ligong Univ. (China)
Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)
© SPIE. Terms of Use
