2022
DOI: 10.1109/ojcas.2022.3152399
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A Natively Fixed-Point Run-Time Reconfigurable FIR Filter Design Method for FPGA Hardware

Abstract: We present a natively fixed-point filter design method that targets FPGA-based Reconfigurable Finite Impulse Response (RFIR) filters for Software Defined Radio applications. The Filter Designer is capable of reconfiguring cut-off frequencies on-the-fly at run-time; with other parameters, such as filter length and window type, configurable at compile-time. The ability to compute filter coefficients directly on FPGAs is compelling, as much lower latencies can be achieved when compared to RFIRs programmed with em… Show more

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Cited by 8 publications
(3 citation statements)
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“…The proposed work is further compared with the most recent reported work (Josh Goldsmith et al , 2022), and the results are presented in Table 7. The proposed single MAC RNS filter provides a significant reduction in resource utilization such as LUT usage of 2.13%, the memory requirement of about (BRAM) 1.43% and the number of digital signal processing blocks of about 3.64% when examining with the fixed point runtime filter.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The proposed work is further compared with the most recent reported work (Josh Goldsmith et al , 2022), and the results are presented in Table 7. The proposed single MAC RNS filter provides a significant reduction in resource utilization such as LUT usage of 2.13%, the memory requirement of about (BRAM) 1.43% and the number of digital signal processing blocks of about 3.64% when examining with the fixed point runtime filter.…”
Section: Resultsmentioning
confidence: 99%
“…The moduli sets take a dynamic range, which is used in the RNS scheme and is suitable for the MAC-based filter design (Piestrak and Berezowski, 2008b). The FPGA used the reconfigurable filter design that offers good performance in terms of minimal resource utilization and faster implementation, which is suitable for software radio applications (Josh Goldsmith et al , 2022). The correlative study of the internet of things and its issues are mentioned for present demanding applications reported in Sharma et al (2019).…”
Section: Literature Surveymentioning
confidence: 99%
“…Although the calculation of the filter coefficients according to the given parameters within the device is making the filter more versatile, it requires additional hardware resources [14]. Therefore, it is advisable to calculate the filter coefficients in advance and store them in the device memory.…”
Section: Introductionmentioning
confidence: 99%