Implementation and analysis of tunable fractional-order band-pass filter of order 2α

被引:13
|
作者
Ahmed, Ola, I [1 ]
Yassin, Heba M. [1 ]
Said, Lobna A. [1 ]
Psychalinos, Costas [2 ]
Radwan, Ahmed G. [3 ,4 ]
机构
[1] Nile Univ, Nanoelect Integrated Syst Ctr NISC, Giza, Egypt
[2] Univ Patras, Dept Phys, Elect Lab, GR-26504 Patras, Greece
[3] Cairo Univ, Dept Engn Math & Phys, Giza, Egypt
[4] Nile Univ, Sch Engn & Appl Sci, Giza, Egypt
关键词
Fractional-order circuits; Fractional order filters; Band-pass filters; Matsuda approximation; Continued Fraction Expansion; OTA-C filters; ELECTRICAL CIRCUITS; OPTIMIZATION; ALGORITHMS; CAPACITORS; SINGLE; STATE;
D O I
10.1016/j.aeue.2020.153343
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a new design of a 2 alpha-order fractional-order band-pass filter with tunability feature. The proposed filter is approximated with the Continued Fraction Expansion and Matsuda second-order approximations. The realized filter transfer function is based on the Inverse Follow the Leader Feedback configuration, with Operational Transconductance Amplifiers as active elements. As a result, the order of the proposed filter can be adjusted by changing a single parameter, which is the bias current Ibias. A comparison with the previous works is performed, showing the advantage of the electronic tuning feature using one bias current value in the proposed filter. Sensitivity analysis is conducted to investigate the effect of circuit parameters variation, such as capacitance and gain factors. Stability analysis is performed by studying the poles' location and movement versus the filter parameters. Besides, the effect of transistor mismatch is evaluated using Monte Carlo analysis. Matlab and Cadence software, with UMC technology of 0.13 mu m CMOS, are used for verifying the proposed implementation. (C) 2020 Elsevier GmbH. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] A Second Order 1.8-1.9 GHz Tunable Active Band-Pass Filter with Improved Noise Performances
    Colaiuda, Davide
    Leoni, Alfiero
    Ferri, Giuseppe
    Stornelli, Vincenzo
    ELECTRONICS, 2022, 11 (17)
  • [32] Fractional-Order Low-Pass Filter with Electronically Adjustable Parameters
    Jerabek, Jan
    Sotner, Roman
    Kubanek, David
    Dvorak, Jan
    Langhammer, Lukas
    Herencsar, Norbert
    Vrba, Kamil
    2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2016, : 569 - 574
  • [33] Tunable Complex Band-Pass Filter on Switchable Capacitors
    Grebenko, Y. A.
    Min, Aung Ko
    2019 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2019,
  • [34] Optically tunable acoustic wave band-pass filter
    Swinteck, N.
    Lucas, P.
    Deymier, P. A.
    AIP ADVANCES, 2014, 4 (12):
  • [35] Magnetically Tunable Terahertz Switch and Band-Pass Filter
    Zhang Hui
    Guo Peng
    Chang Sheng-Jiang
    Yuan Jing-He
    CHINESE PHYSICS LETTERS, 2008, 25 (11) : 3898 - 3900
  • [36] Magnetically tunable terahertz switch and band-pass filter
    Institute of Modern Optics, Nankai University, Tianjin 300071, China
    不详
    Chin. Phys. Lett., 2008, 11 (3898-3900):
  • [37] Fractional-order low-pass filter with electronic tunability of its order and pole frequency
    Langhammer, Lukas
    Dvorak, Jan
    Jerabek, Jan
    Koton, Jaroslav
    Sotner, Roman
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2018, 69 (01): : 3 - 13
  • [38] MINIATURE ELECTRICALLY TUNABLE YIG BAND-PASS FILTER
    WRIGHT, ML
    TAUB, JJ
    PROCEEDINGS OF THE INSTITUTE OF RADIO ENGINEERS, 1962, 50 (10): : 2107 - &
  • [39] CIM applications in fractional domain: Fractional-order universal filter & fractional-order oscillator
    Varshney, Garima
    Pandey, Neeta
    Minaei, Shahram
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2022, 156
  • [40] A Modified Fractional-Order Unscented Kalman Filter for Nonlinear Fractional-Order Systems
    Ramezani, Abdolrahman
    Safarinejadian, Behrouz
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (09) : 3756 - 3784