Performance analysis of Low energy and highspeed DA-RNS based FIR filter design for SDR Applications on FPGA
| Autor: | B. N. Mohan Kumar, H. G. Rangaraju |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation 020208 electrical & electronic engineering Signal Processing 0202 electrical engineering electronic engineering information engineering 02 engineering and technology Hardware_ARITHMETICANDLOGICSTRUCTURES Electrical and Electronic Engineering |
| Zdroj: | International Journal of Circuits, Systems and Signal Processing. 15:700-712 |
| ISSN: | 1998-4464 |
| DOI: | 10.46300/9106.2021.15.78 |
| Popis: | For different applications, the Finite Impulse Response (FIR) filter is widely used in digital signal processing (DSP) applications. We exhibit a significant Residue Number System (RNS)-based FIR filter design for Software Defined Radio (SDR) filtration in this article. Including its underlying concurrency and information clustering process, the RNS provides important statistics over FIR application in specific. According to several residue computing and reverse translation, expanded bit size results in a significant performance trade-off, conversely. Through RNS replication, accompanied by conditional delay optimized reverse processing to minimize the FIR filter trade-off features with filter duration optimized Residue Number System arithmetic is proposed in this study, which involves distributed arithmetic-based residue processing. To execute the task of reverse translation and to store pre-computational properties, the suggested Residue Number System architecture makes use of built-in RAM blocks found in field-programmable gate array (FPGA) devices. The proposed FIR filter with core optimized RNS has the benefit of lowering processing latency delay while rising performance torque. Followed by FPGA hardware synthesis for different input word sizes and FIR lengths verification by the efficiency of the FIR filter core, fetal audio signal detection is performed first. The test results reveal that over the optimization procedure RNS method, a compromise in traditional RNS FIR over filter size is narrowed, as well as a substantial decrease in sophistication. |
| Databáze: | OpenAIRE |
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