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Digital Front-End for Software Defined Radio Wideband Channelizer

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Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti Published in Signal Processing

Digital Front-End for Software Defined Radio Wideband Channelizer
Communications on Applied Electronics
Year of Publication: 2015
© 2015 by CAE Journal
Series Volume 1 Number 6
Authors Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti
10.5120/cae-1570
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Adedotun O Owojori, Temidayo O Otunniyi and Erastus O Ogunti. Article: Digital Front-End for Software Defined Radio Wideband Channelizer. Communications on Applied Electronics 1(6):25-35, April 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Adedotun O. Owojori and Temidayo O. Otunniyi and Erastus O. Ogunti},
	title = {Article: Digital Front-End for Software Defined Radio Wideband Channelizer},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {6},
	pages = {25-35},
	month = {April},
	note = {Published by Foundation of Computer Science, New York, USA}
}

Abstract

This paper focused on the design of a digital front end channelizer useful in most software defined radios with the aim of exploiting the vast resources of digital signal processing which helps to achieve a portable, long lasting with extraordinary computational complexity software application that is capable of running at a lower power budget. Three channelization algorithms: per-channel, pipeline frequency transform and poly-phase fast Fourier transform uniform channelization algorithms were reviewed and designed for FM receivers using Altera Digital Signal Processing tool box in MATLAB/Simulink environment. The performance evaluation of the three algorithms were carried out with the estimation of the multiplication per input samples of operation of the system, signal strength level or signal to noise ratio and the compilation time of each algorithm. The result showed that the polyphase fast Fourier transforms and pipeline frequency transform had 24% decrease in computational requirement compared to per-channel which suggest a lower power consumption. Whereas, polyphase fast Fourier transform out performs pipeline frequency transform in terms of silicon cost.

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Keywords

Channelization, Multirate Digital Filter Bank, Software Defined Radio, Digital Down Conversion.