Design of a Power-Efficient Low-Complexity Reconfigurable Non-maximally Decimated Filter Bank for High-Resolution Wideband Channels

Sudharman, Sudhi; Rajan, Athul D.; Bindiya, T. S.

doi:10.1007/s00034-018-0988-0

Cited by 18 publications

(4 citation statements)

References 14 publications

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“…A fixed-coefficient VCF filter with discrete control over frequency uses techniques such as a coefficient decimation method (CDM)-based filter and a frequency-response-masking-based filter. The coefficient decimation method (CDM) [ 9 , 10 , 11 , 12 ] was proposed to achieve low complexity by using one prototype filter or modal filter. Different signals with different passband widths and passband locations can be extracted with minimum overhead.…”

Section: Introductionmentioning

confidence: 99%

“…Different signals with different passband widths and passband locations can be extracted with minimum overhead. Coefficient decimation method 1 (CDM-1) allows the extraction of different multiband frequency responses whereas CDM-11offers flexible passband width and passband centre frequency of the prototype filter [ 9 , 13 , 14 , 15 ]. A modified form of CDM known as the modified coefficient decimation method (MCDM) was proposed to offer a solution to the variable digital filter [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…An FRM-based tree structure non-uniform filter bank was designed to reduce the complexity of the filter to the minimum [ 27 ]. A substantial reduction in the complexity of the variable digital filter can be achieved by combining a modulated digital filter bank with the FRM approach, as can be seen with methods such as the non-uniform modulated discrete Fourier transform (MDFT) and modulated cosine filter [ 9 ]. A modulated generalised discrete Fourier transform (GDFT) filter bank was proposed to reduce the complexity of the Farrow filter [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…Further complexity reductions were seen when frequency-response masking (FRM) and a non-maximally decimated filter bank (NMDUFB) were used [ 9 ]. A hybrid modified improved coefficient decimation method (HMICDM) was developed to improve the complexity of a variable digital filter [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

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Low-Complexity Filter for Software-Defined Radio by Modulated Interpolated Coefficient Decimated Filter in a Hybrid Farrow

Otunniyi

Myburgh

2022

Sensors

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Realising a low-complexity Farrow channelisation algorithm for multi-standard receivers in software-defined radio is a challenging task. A Farrow filter operates best at low frequencies while its performance degrades towards the Nyquist region. This makes wideband channelisation in software-defined radio a challenging task with high computational complexity. In this paper, a hybrid Farrow algorithm that combines a modulated Farrow filter with a frequency response interpolated coefficient decimated masking filter is proposed for the design of a novel filter with low computational complexity. A design example shows that the HFarrow filter bank achieved multiplier reduction of 50%, 70% and 64%, respectively, in comparison with non-uniform modulated discrete Fourier transform (NU MDFT FB), coefficient decimated filter bank (CD FB) and interpolated coefficient decimated (ICDM) filter algorithms. The HFarrow filter bank is able to provide the same number of sub-band channels as other algorithms such as non-uniform modulated discrete Fourier transform (NU MDFT FB), coefficient decimated filter bank (CD FB) and interpolated coefficient decimated (ICDM) filter algorithms, but with less computational complexity.

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Section: Introductionmentioning

confidence: 99%