Front-ends for software-defined radio

doi:10.1017/CBO9781107295537.004

3 - Front-ends for software-defined radio

from Part I - White space technology signal processing and digital design

Published online by Cambridge University Press: 05 October 2014

José Vieira and

Daniel Albuquerque

Edited by

Nuno Borges Carvalho ,

Alessandro Cidronali and

Roberto Gómez-García

Show author details

José Vieira: Affiliation:
Universidade de Aveiro, Portugal
Daniel Albuquerque: Affiliation:
Universidade de Aveiro, Portugal
Nuno Borges Carvalho: Affiliation:
Universidade de Aveiro, Portugal
Alessandro Cidronali: Affiliation:
Università degli Studi di Firenze, Italy
Roberto Gómez-García: Affiliation:
Universidad de Alcalá, Madrid

Book contents

Get access

Summary

Introduction

Conventional radios can be seen as analog signal processing systems. The appearance of digital signal processors (DSPs) has opened up the possibility of digitizing parts of the signal processing performed in a radio, namely the signals in the final stages having a narrow bandwidth. With the increase of the processing power of the DSPs and field programmable gate arrays (FPGAs), it became possible to process in the digital domain a larger proportion of radio system signals. Most companies have started to implement more and more radio components in the digital domain and in this way have provided a higher data rate and excellent voice quality at lower prices. The evolution from 1G radios to 4G and more recently to the long-term evolution (LTE) standard is a good example of this transformation from the analog to the digital domain of more and more components of radios. Due to the increased performance introduced by digitalization, this evolution presents a huge success in mass-markets all over the world. With this evolution, radios stopped providing a single waveform with a unique width standard and started providing several waveforms with multi-standard widths [1]. However, this approach has some problems because when a radio has several waveforms with several standard widths it needs to employ multiple chipsets and platforms [2].

Information

Type: Chapter
Information: White Space Communication Technologies , pp. 58 - 102

DOI: https://doi.org/10.1017/CBO9781107295537.004 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

References

[1] U., Ramacher, “Software-Defined Radio Prospects for Multistandard Mobile Phones,”Computer, vol. 40, no. 10, pp. 62–69, 2007.Google Scholar

[2] T. J., Rouphael, RF and Digital Signal Processing for Software-Defined Radio – A Multi-Standard Multi-Mode Approach, Newnes, 2008.

[3] R. V., Prasad, P., Pawelczak, J. A., Hoffmeyer, and H. S., Berger, “Cognitive Functionality in Next Generation Wireless Networks: Standardization Efforts [Cognitive Radio Communications],”IEEE Communications Magazine, vol. 46, no. 4, pp. 72–78, 2008.Google Scholar

[4] W. H., Tuttlebee, Software Defined Radio: Origins, Drivers and International PerspectivesJohn Wiley & Sons, 2002.Google Scholar

[5] J., Mitola, “The Software Radio Architecture,”IEEE Communications Magazine, 1995.Google Scholar

[6] A. A., Abidi, “The Path to the Software-Defined Radio Receiver,”IEEE Journal of Solid State Circuits, vol. 42, no. 5, pp. 954–966, 2007.Google Scholar

[7] T., Hentschel, M., Henker, and G., Fettweis, “The Digital Front-End of Software Radio Terminals,” Personal Communications, IEEE [see also IEEE Wireless Communications, vol.6, no. 4, pp. 40–46, 1999].Google Scholar

[8] D., Agarwal, “An 8 ghz ultra wideband transceiver testbed,” Ph.D. dissertation, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 2005.

[9] R. H., Walden, “Analog-to-Digital Converter Survey and Analysis,”IEEE Journal on Selected Areas in Communications, vol. 17, no. 4, pp. 539–550, 1999.Google Scholar

[10] Y., Han, O., Boyraz, and B., Jalali, “Tera-Sample-Per-Second Real-Time Waveform Digitizer,” Preprint, Applied Physics Letters, 2005.Google Scholar

[11] G. C., Valley, “Photonic Analog-to-Digital Converters,”Optics Express, vol. 15, no. 5, pp. 1955–1982, 2007.Google Scholar

[12] J., Chou, J., Conway, G., Sefler, G., Valley, and B., Jalali, “150 gs/s Real-Time Oscilloscope Using a Photonic Front End,” in Microwave Photonics, 2008. Jointly held with the 2008 Asia-Pacific Microwave Photonics Conference. MWP/APMP 2008. International Topical Meeting on, 2008, pp. 35–38.Google Scholar

[13] V. J., Arkesteijn, E. A. M., Klumperink, and B., Nauta, “An Analogue Front-End Architecture for Software Defined Radio,” in Proceedings of the 13th ProRisc Workshop on Circuits, Systems, and Signal Processing, 2002.Google Scholar

[14] P. B., Kenington, Rf And Baseband Techniques for Software Defined Radio, Artech House Publishers, 2005.Google Scholar

[15] L., Bin, T. W., Rondeau, J. H., Reed, and C. W., Bostian, “Analog-to-Digital Converters,”IEEE Signal Processing Magazine, vol. 22, no. 6, pp. 69–77, 2005.Google Scholar

[16] T., Hentschel, “Channelization for Software Defined Base-Stations,”Annals of Telecommunications, vol. 57, nos. 5–6, pp. 386–420, 2002.Google Scholar

[17] N., Vun and A. B., Premkumar, “ADC Systems for SDR Digital Front-End,” in Proceedings of the Ninth International Symposium on Consumer Electronics, 2005. (ISCE 2005), 2005, pp. 359–363.Google Scholar

[18] A. A., Abidi, “Evolution of a Software-Defined Radio Receiver's RF Front-End,” in IEEE Radio Frequency Integrated Circuits (RFIC) Symposium, 2006, 2006, pp. 17–20.Google Scholar

[19] R., Bagheri, A., Mirzaei, M. E., Heidari, S., Chehrazi, L., Minjae, M., Mikhemar, W. K., Tang, and A. A., Abidi, “Software-Defined Radio Receiver: Dream to Reality,”IEEE Communications Magazine, vol. 44, no. 8, pp. 111–118, 2006.Google Scholar

[20] X., Xu, K., Wu, and R. G., Bosisio, “Software Defined Radio Receiver Based on Six-Port Technology,” in 2003 IEEE MTT-S International Microwave Symposium Digest, vol.2, pp. 1059–1062, 2003.Google Scholar

[21] A. K., Salkintzis, N., Hong, and P. T., Mathiopoulos, “ADC and DSP Challenges in the Development of Software Radio Base Stations,”IEEE Wireless Communications, vol. 6, no. 4, pp. 47–55, 1999.Google Scholar

[22] J. E., Gunn, K. S., Barron, and W., Ruczczyk, “A Low-Power DSP Core-Based Software Radio Architecture,”IEEE Journal on Selected Areas in Communications, vol. 17, no. 4, pp. 574–590, 1999.Google Scholar

[23] M., Kawashima, Y., Yamaguchi, K., Nishikawa, and K., Uehara, “Broadband Low Noise Amplifier with High Linearity for Software-Defined Radios,” in 2007 European Conference on Wireless Technologies, 2007, pp. 323–326.Google Scholar

[24] SDR, Forum, “SDRF Cognitive Radio Definitions,” Tech. Rep., 2007.

[25] ATIS, “Telecom glossary,” http://www.atis.org/glossary/, 2007, accessed 30 December 2008.

[26] G., Youngblood, “A Software Defined Radio for the Masses, Part 1,”QEX, July/August 2002.Google Scholar

[27] FlexRadio System, “What are Software Defined Radios?” http://www.flex-radio.com/About.aspx?topic=whatissdr, 2008, accessed 30 December 2008.

[28] F., Christensen, “A Scalable Software-Defined Radio Development System,”Xcell Journal, no. 51, pp. 26–28, 2004.Google Scholar

[29] F. K., Jondral, “Software-Defined Radio: Basics and Evolution to Cognitive Radio,”EURASIP Journal on Wireless Communications and Networking, vol. 5, no. 3, pp. 275–283, 2005.Google Scholar

[30] V., Giannini, J., Craninckx, and A., Baschirotto, Baseband Analog Circuits for Software Defined Radio, ser. Analog Circuits and Signal Processing, 2008.

[31] R., Schiphorst, F. W., Hoeksema, and C. H., Slump, “The Front End of Software-Defined Radio: Possibilities and Challenges,” 2001.

[32] A., Sayag, S., Levin, D., Regev, D., Zfira, S., Shapira, D., Goren, and D., Ritter, “A 25 ghz 3.3 db nf Low Noise Amplifier Based upon Slow Wave Transmission Lines and the 0.18 CMOS technology,”IEEE Radio Frequency Integrated Circuits Symposium, 2008, pp. 373–376, 2008.Google Scholar

[33] W., Cook and P.G., Bonser, “Architectural Overview of the Speakeasy System,”IEEE Journal on Selected Areas in Communications, vol. 17, no. 4, pp. 650–661, 1999.Google Scholar

[34] R. I., Lackey and D. W., Upmal, “Speakeasy: the Military Software Radio,”IEEE Communications Magazine, vol. 33, no. 5, pp. 56–61, 1995.Google Scholar

[35] D., Akos, M., Stockmaster, J., Tsui, and J., Caschera, “Direct Bandpass Sampling of Multiple Distinct RF Signals,”IEEE Transactions on Communications, vol. 47, no. 7, pp. 983–988, 1999.Google Scholar

[36] B. W., Douglas and M., Vijay, Digital Signal Processing Handbook, CRC Press, 1997.Google Scholar

[37] F., Rivet, Y., Deval, J. B., Begueret, D., Dallet, and D., Belot, “A Software-Defined Radio Based on Sampled Analog Signal Processing Dedicated to Digital Modulations,”Research in Microelectronics and Electronics Conference, 2007. PRIME 2007. Ph.D., 2007, pp. 121–124.Google Scholar

[38] F., Rivet, Y., Deval, J. B., Begueret, D., Dallet, P., Cathelin, and D., Belot, “A Disruptive Receiver Architecture Dedicated to Software-Defined Radio,”IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 55, no. 4, pp. 344–348, 2008.Google Scholar

[39] F., Rivet, Y., Deval, J. B., Begueret, D., Dallet, and D., Belot, “A Universal Radio Frequency Receiver Architecture Based on Sampled Analog Signal Processing,”IEEE Northeast Workshop on Circuits and Systems, 2007, pp. 1449–1452, 2007.Google Scholar

[40] S. H., Han and J. H., Lee, “An Overview of Peak-to-Average Power Ratio Reduction Techniques for Multicarrier Transmission,”IEEE Wireless Communications, vol. 12, no. 2, pp. 56–65, 2005.Google Scholar

[41] A., Latiri, L., Joet, P., Desgreys, and P., Loumeau, “A Reconfigurable RF Sampling Receiver for Multistandard Applications,”Comptes Rendus Physique, vol. 7, no. 7, pp. 785–793, 2006.Google Scholar

[42] D., Jakonis, K., Folkesson, J., Dbrowski, P., Eriksson, and C., Svensson, “A 2.4-GHz RF Sampling Receiver Front-End in 0.18-um CMOS,”IEEE Journal of Solid-State Circuits, vol. 40, no. 6, pp. 1265–1277,2005.Google Scholar

[43] S., Yi-Ran and S., Svante, “A Generalized Quadrature Bandpass Sampling in Radio Receivers,”Design and Automation Conference, Proceedings ofthe ASP-DAC 2005.

[44] C., Vogel, D., Draxelmayr, and G., Kubin, “Spectral Shaping of Timing Mismatches in Time-Interleaved Analog-to-Digital Converters,”IEEE International Symposium on Circuits and Systems, 2005, vol. 2, pp. 1394–1397, 2005.Google Scholar

[45] G., Ferre, M., Jridi, L., Bossuet, B., Le Gal, and D., Dallet, “A New Orthogonal Online Digital Calibration for Time-Interleaved Analog-to-Digital Converters,”IEEE International Symposium on Circuits and Systems, 2008, pp. 576–579, 2008.Google Scholar

[46] S., Long, J., Wu, Y., Zhang, and L., Shi, “A Calibration Architecture for Improving the Performance of Time-Interleaved ADC,”7th International Conference on ASIC, 2007, ASICON '07, pp. 577–580, 2007.Google Scholar

[47] M., Soudan and R., Farrell, “Methodology for Mismatch Reduction in Time-Interleaved ADCS,”18th European Conference on Circuit Theory and Design, 2007, pp. 352–355, 2007.Google Scholar

[48] S., Velazquez, T., Nguyen, S., Broadstone, and J., Roberge, “A Hybrid Filter Bank Approach to Analog-to-Digital Conversion,” 1994, pp. 116–119.Google Scholar

[49] D., Asemani, J., Oksman, and P., Duhamel, “Subband Architecture for Hybrid Filter Bank A/D Converters,”IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 2, pp. 191–201, 2008.Google Scholar

[50] D., Asemani and J., Oksman, “Time-Division Multiplexing Architecture for Hybrid Filter Bank A/D Converters,” in 50th Midwest Symposium on Circuits and Systems, 2007, pp. 405–408.Google Scholar

[51] S., Zhao and S., Chan, “Robust Design of Hybrid Filter Bank A/D Converters Using Second Order Cone Programming,”2006 IEEE International Symposium on Circuits and Systems, p. 4, 2006.Google Scholar

[52] J. P., Magalhães, J. M. N., Vieira, R., Gómez-Garcia, and N. B., Carvalho, “Bio-Inspired Hybrid Filter Bank for Sotware-Defined Radio Receivers,”IEEE Transactions on Microwave Theory and Techniques, vol. 61, no. 4, pp. 1455–1466, 2013.Google Scholar

[53] J. H., Reed, Software Radio – A Modern Approach to Radio Engineering, Prentice Hall, 2002.Google Scholar

[54] D.-W., Lim, S.-J., Heo, and J.-S., No, “An Overview of Peak-to-Average Power Ratio Reduction Schemes for OFDM Signals”, Journal of Communications and Networks, vol. 11, no. 3, pp. 229–239, 2009.Google Scholar

[55] H., Fletcher, “Speech and Hearing in Communication,” NY: Acoustical Society of America, 1995.

[56] F. M. d. S., Perdigão, “Modelos do Sistema Auditivo Periférico no Reconhecimento Automático de Fala,” Ph.D., Universidade de Coimbra, 1997.

[57] G. C., Valley, “Photonic Analog-to-Digital Converters,”Optics Express, vol. 15, no. 5, pp. 1955–82, March 2007.Google Scholar

[58] P. P., Vaidyanathan, Multirate Systems and Filter Banks, 1st edn, ser. Signal Processing, A. V., Oppenheim, Ed. New Jersey: Prentice-Hall, 1993.Google Scholar

[59] A., Papoulis, “Generalized Sampling Expansion,”IEEE Transactions on Circuits and Systems, vol. 24, no. 11, pp. 652–654, November 1977. Magazines&searchField=Search_All&queryText=generalized+sampling+expansions.Google Scholar

[60] S., Soldado, J. N. V., Vieira, D., Albuquerque, and T., Monteiro, “Controlling the Reconstruction Error in Hybrid Filter Banks,” in SPAWC 2011, Signal Processing Advances in Wireless Communications, San Francisco, USA: IEEE, 2011.Google Scholar

[61] G., Strang, Linear Algebra and its Applications, 2nd edn, New York: Academic Press, 1976.Google Scholar

[62] C., Lelandais-Perrault, D., Poulton, and J., Oksman, “Band-Pass Hybrid Filter Bank A/D Converters with Software-Controlled Bandwidth and Resolution,” in Proceedings of the 2005 European Conference on Circuit Theory and Design, IEEE, 2005, pp. I51–54.Google Scholar

[63] S., Boyd and L., Vandenberghe, Convex Optimization, Cambridge: Cambridge University Press, 2004.Google Scholar

[64] P. J. S. G., Ferreira, “Mathematics for Multimedia Signal Processing II: Discrete Finite Frames and Signal Reconstruction,” in Signal Processing for Multimedia, 1999, no. iv, pp. 35–54. Signal+Processing+II+Discrete+Finite+Frames+and+Signal+Reconstruction&ots=k1Ko7gKRcY&sig=DIN5u_Jz7oJy1n6_pXaQMtza2c.Google Scholar

[65] J. P., Magalhães, J. M. N., Vieira, R., Gomez-Garcia, and N. B., Carvalho, “RF and IF Channelizers for Wide-Band Sensing in Cognitive/Software-Defined-Radio Receivers,” in EuMW2012, Amsterdam, Netherlands, IEEE, 2012.Google Scholar

[66] J. P., Magalhães, T., Monteiro, J. M. N., Vieira, R., Gómez-Garcia, and N. B., Carvalho, “Papoulis–Gerchberg Hybrid Filter Bank Receiver for Cognitive-/Software Defined Radio Systems,” in ISCAS2013, Beijing, China, 2013.Google Scholar

Accessibility standard: Unknown

Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.