A power-scalable variable-length analogue DFT processor for multi-standard wireless transceivers

Tanhaei, Ghazal (2016). A power-scalable variable-length analogue DFT processor for multi-standard wireless transceivers. University of Birmingham. Ph.D.

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Abstract

In the Orthogonal Frequency-Division Multiplexing (OFDM) based transceivers, digital computation of the Discrete Fourier Transform (DFT) is a power hungry process. Reduction in the hardware cost and power consumption is possible by implementing the DFT processor with analogue circuits. This thesis presents the real-time recursive DFT processor. Previously, changing the transform length and scaling the power could only be performed by digital Fast Fourier Transform (FFT) processors. By using the real-time recursive DFT processor, the decimation filter is eliminated. Thus, further reduction in the hardware cost and power consumption of the multi-standard transceiver is achieved. The real-time recursive DFT processor was designed in 180 nm CMOS technology. Results of device mismatch analysis indicate that the 8-point recursive DFT processor has a yield of 97.5% for the BPSK modulated signal. For the QPSK modulated signal, however, yield of the 8-point recursive DFT processor is 8.9%. Moreover, doubling the transform length reduces the average dynamic range by 3dB. Accordingly, the 16-point recursive DFT processor has a yield of 43.4% for the BPSK modulated signal. Power consumption of the recursive DFT processor is about 1/6 of the power consumption of a previous analogue FFT processor.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Supervisor(s):
Supervisor(s)EmailORCID
Quigley, Steven FrancisUNSPECIFIEDUNSPECIFIED
Gardner, PeterUNSPECIFIEDUNSPECIFIED
Licence:
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Engineering, Department of Electronic, Electrical and Systems Engineering
Funders: Other
Other Funders: The University of Birmingham
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
URI: http://etheses.bham.ac.uk/id/eprint/7072

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