TENCON 2018 - 2018 IEEE Region 10 Conference 2018
DOI: 10.1109/tencon.2018.8650548
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Chained-Function Waveguide Filter for 5G and Beyond

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Cited by 6 publications
(9 citation statements)
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“…When |FF(ω)| is at maximum, e.g. |FF (ω)| = 1, the transfer function for the chained function can be deduced by multiplying (14) with FF C (ω):…”
Section: General Expression For the Chained Function Polynomials Omentioning
confidence: 99%
See 1 more Smart Citation
“…When |FF(ω)| is at maximum, e.g. |FF (ω)| = 1, the transfer function for the chained function can be deduced by multiplying (14) with FF C (ω):…”
Section: General Expression For the Chained Function Polynomials Omentioning
confidence: 99%
“…13. The sensitivity analysis is conducted by applying a ±10% tolerance to their coupling matrices and compared their filter performances to those of the ideal models [14], [15]. It should be noted that [14] and [15] are only limited to single-band filter realisations.…”
Section: Sensitivity To Manufacturing Errorsmentioning
confidence: 99%
“…The formulation of chained-elliptic functions follows the same transfer function approximation for classical filters [5][6][7]. The general representation of the squared magnitude response is in the following form:…”
Section: Polynomial Generationmentioning
confidence: 99%
“…In addition, a high sensitivity filter results in wide fluctuations of the filter response during the tuning process, and thus, a substantial amount of time will be consumed to obtain an accurate filter response. The chained-function filters introduced in [1][2][3][4][5][6] have reduced sensitivity to the manufacturing tolerance. However, the chaining process will reduce the selectivity and close-to-band rejection of the filter [1], resulting in the need for higher order filters to compensate for the reduction in selectivity and rejection properties.…”
Section: Introductionmentioning
confidence: 99%
“…Designing Chebyshev filters has always been challenging [9]. The chained function on the other hand can be found to compromise between Butterworth and Chebyshev approximations [10], [11] because it could combine the advantages of both Butterworth functions (lower filter losses, lower sensitivity, and lower resonator unloaded-Q factor) and Chebyshev functions (i.e., higher out-of-band and higher selectivity rejection) [12]. The technique of chained transfer functions can reduce filter complexity, manufacturing tolerance, and, most importantly, post-manufacturing tuning processes [4], [13].…”
Section: Introductionmentioning
confidence: 99%