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Title: | Twiddle factor generation using chebyshev polynomials and HDL for frequency domain beamforming | Authors: | Akkad, Ghattas Mansour, Ali Hassan, Bachar El Le Roy, Fredric Najem, Mohamad |
Affiliations: | Department of Computer Engineering | Keywords: | FFT FPGA Accelerated computing VHDL Beamforming Twiddle factor Chebyshev Frequency domain |
Issue Date: | 2019 | Part of: | Lecture Notes in Electrical Engineering | Volume: | 573 | Start page: | 153 | End page: | 165 | Conference: | International Conference on Applications in Electronics Pervading Industry, Environment and Society (26-27 Sep 2018 : Pisa, Italy) | Abstract: | Twiddle factor generation is considered a computationally intensive task in generic length, high resolution, FFT operations. In order to accelerate twiddle factor generation, we propose a reconfigurable hardware architecture based on Chebyshev polynomial expansion for computing the cosine and sine trigonometric functions under finite precision arithmetic. We show that our approach presents a flexible 3 decimal digits precision output for variable length FFT operations, since the same design space can be used for any power of 2 FFT length. In particular, this study focuses on communication systems incorporating frequency domain beamforming algorithms for single and multi-beams. The proposed architecture is competitive with classical designs i.e. Coordinate Rotation Digital Computer, CORDIC and Taylor Series by providing low latency, high precision twiddle factors for variable length FFT. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/871 | Ezproxy URL: | Link to full text | Type: | Conference Paper |
Appears in Collections: | Department of Computer Engineering |
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