Flexible Analog Front Ends of Reconfigurable Radios Based on Sampling and Reconstruction with Internal Filtering

Bandpass sampling, reconstruction, and antialiasing filtering in analog front ends potentially provide the best performance of software defined radios. However, conventional techniques used for these procedures limit reconfigurability and adaptivity of the radios, complicate integrated circuit implementation, and preclude achieving potential performance. Novel sampling and reconstruction techniques with internal filtering eliminate these drawbacks and provide many additional advantages. Several ways to overcome the challenges of practical realization and implementation of these techniques are proposed and analyzed. The impact of sampling and reconstruction with internal filtering on the analog front end architectures and capabilities of software defined radios is discussed.

[1]  Asad A. Abidi.  CMOS wireless transceivers: the new wave , 1999, IEEE Commun. Mag..

[2]  Charles Chien,et al.  Digital Radio Systems on a Chip: A Systems Approach , 2000 .

[3]  William E. Sabin Sabin,et al.  Single-sideband systems and circuits , 1987 .

[4]  Heinrich Meyr,et al.  Digital communication receivers - synchronization, channel estimation, and signal processing , 1997, Wiley series in telecommunications and signal processing.

[5]  Yichuang Sun.  Wireless Communications Circuits and Systems (Iee Circuits, Devices and Systems Series 16) , 2004 .

[6]  Yefim S. Poberezhskiy,et al.  Sampling and signal reconstruction circuits performing internal antialiasing filtering and their influence on the design of digital receivers and transmitters , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Joseph Mitola,et al.  The software radio architecture , 1995, IEEE Commun. Mag..

[8]  Y. Poberezhskiy,et al.  Sampling with weighted integration for digital receivers , 1999, 1999 IEEE MTT-S International Topical Symposium on Technologies for Wireless Applications (Cat. No. 99TH8390).

[9]  Y. Poberezhskiy,et al.  Sampling technique allowing exclusion of antialiasing filter , 2000 .

[10]  Behzad Razavi.  Recent advances in RF integrated circuits , 1997 .

[11]  Yefim S. Poberezhskiy,et al.  Corrections to "Sampling and Signal Reconstruction Circuits Performing Internal Antialiasing Filtering and Their Influence on the Design of Digital Receivers and Transmitters" , 2004, IEEE Trans. Circuits Syst. I Regul. Pap..

[12]  Y. Poberezhskiy,et al.  Sampling algorithm simplifying VLSI implementation of digital receivers , 2001, IEEE Signal Processing Letters.

[13]  James Bao-Yen Tsui.  Digital Microwave Receivers: Theory and Concept , 1989 .

[14]  Yichuang Sun,et al.  Wireless communication circuits and systems , 2004 .

[15]  Yefim S. Poberezhskiy,et al.  Sample-and-hold amplifiers performing internal antialiasing filtering and their applications in digital receivers , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[16]  Y. Poberezhskiy,et al.  Sampling and signal reconstruction structures performing internal antialiasing filtering , 2002, 9th International Conference on Electronics, Circuits and Systems.

[17]  M. E. Frerking,et al.  Digital signal processing in communication systems , 1994 .

[18]  MitolaJ..  Software radio architecture , 1999 .

[19]  Gennady Y. Poberezhskiy,et al.  Signal reconstruction technique allowing exclusion of antialiasing filter , 2001 .

[20]  R. I. Lackey,et al.  Speakeasy: the military software radio , 1995, IEEE Commun. Mag..

[21]  Charles Rader,et al.  A Simple Method for Sampling In-Phase and Quadrature Components , 1984, IEEE Transactions on Aerospace and Electronic Systems.