scholarly journals Butterworth transfer function with the equalised group delay response in the maximally flat sense

2018 ◽  
Vol 54 (25) ◽  
pp. 1436-1438 ◽  
Author(s):  
N. Stojanović ◽  
I. Krstić ◽  
N. Stamenković ◽  
G. Perenić
Keyword(s):  
Transfer Function ◽  
Group Delay ◽  
Delay Response

Digital All-Pass Filter Modeling Based on Desired Group Delay Using Advanced Material: A Review on the Signal Processing Part

2015 ◽  
Vol 815 ◽  
pp. 338-342
Author(s):  
Faizah Abu Bakar ◽  
Sohiful Anuar Zainol Murad ◽  
Rizalafande Che Ismail ◽  
Muzamir Isa
Keyword(s):  
Transfer Function ◽  
Group Delay ◽  
Sampling Frequency ◽  
Bilinear Transformation ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Phase Type ◽  
Low Pass ◽  
Group Delays ◽  
Delay Variation

This paper presents a review on three types of techniques in designing digital all-pass filters based on group delay. All the three methods use the same basic concept rooting back to the requirement of a stable transfer function of the filter which should be a minimum-phase type, and the denominator group delay. The most optimized of the three is chosen to be implemented in MATLAB in order to decrease the group delay variation of a 5th order Chebyshev low-pass filter with cut-off frequency of 160 MHz. The digital transfer function of the low-pass filter is obtained from the analog transfer function by means of bilinear transformation. The sampling frequency of the digital LPF is 100 times the cut-off ffrequency to retain the response of the analog LPF. Both of the filters are then cascaded together and the overall group delays variations are analyzed. The variations of group delay shows a reduction but the price paid is the increase of the overall group delay of the system.

scholarly journals Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Zukun Lu ◽  
Junwei Nie ◽  
Feiqiang Chen ◽  
Gang Ou
Keyword(s):  
Transfer Function ◽  
Global Navigation Satellite System ◽  
Antenna Arrays ◽  
Group Delay ◽  
Satellite System ◽  
Navigation Satellite ◽  
Amplitude Wave ◽  
Channel Mismatch ◽  
Global Navigation Satellite ◽  
The Impact

The performance of antijamming is limited by channel mismatch in global navigation satellite system (GNSS) antenna arrays receivers. Only when the amplitude and phase characteristics of each array channels are the same is the interference likely to be completely suppressed. This paper analyzes the impact on antijamming performance of channel mismatch. We built the model of channel mismatch and derived the impact on transfer function with space-time adaptive processor (STAP) of channel mismatch in theory. The impact factor of channel mismatch is proposed by the fuzzy transfer function, which could directly reflect the antijamming performance under channel mismatch. In addition, every characteristic in the channel mismatch model is analyzed. The analysis results show that the greatest impacts on antijamming performance are the range of amplitude wave and the group delay bias, while the influence of the number of amplitudes is next. As for the effect of group delay fluctuation is the smallest.

scholarly journals Optimised square passband fibre Bragg grating filter with in-band flat group delay response

1998 ◽  
Vol 34 (8) ◽  
pp. 800 ◽  
Author(s):  
M. Ibsen ◽  
M.K. Durkin ◽  
M.J. Cole ◽  
R.I. Laming
Keyword(s):  
Group Delay ◽  
Bragg Grating ◽  
Fibre Bragg Grating ◽  
Delay Response
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