论文信息 - Implementing a RAKE receiver for wireless communications on an FPGA-based computer system

Implementing a RAKE receiver for wireless communications on an FPGA-based computer system

RAKE receivers are widely used in the wireless communications industry. Currently, custom VLSI is the most popular implementation. Programmable and reconfigurable logic implementations are becoming more attractive because of their flexibility and due to technology advancements. We have implemented a RAKE receiver on an Annapolis Wildforce board with four Xilinx 4000 family chips for a total of 100,000 gate equivalents. Our system is able to implement a RAKE receiver for underwater data communication systems that works in real time. We also investigate mapping a RAKE receiver to a Virtex chip for real-time atmospheric wireless communication.

Miriam Leeser | Ali M. Shankiti

[1] Milica Stojanovic,et al. Multichannel processing of broad-band multiuser communication signals in shallow water acoustic channels , 1996 .

[2] Brad L. Hutchings,et al. An Assessment of the Suitability of FPGA-Based Systems for Use in Digital Signal Processing , 1995, FPL.

[3] Brent E. Nelson,et al. FPGA-based sonar processing , 1998, FPGA '98.

[4] Mark Cummings,et al. FPGA in the software radio , 1999, IEEE Commun. Mag..

[5] Eric K. Pauer,et al. Rapid implementation of mathematical and DSP algorithms in configurable computing devices , 1998, Other Conferences.

[6] Theodore S. Rappaport,et al. Wireless communications - principles and practice , 1996 .

[7] J. G. Proakis,et al. Direct sequence spread spectrum based modem for under water acoustic communication and channel measurements , 1999, Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008).

[8] Michel Fattouche,et al. An FPGA implementation of a matched filter detector for spread spectrum communications systems , 1997, FPL.

[9] David R. Martinez,et al. Field programmable gate array based radar front-end digital signal processing , 1999, Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00375).

[10] John G. Proakis,et al. Digital Communications , 1983 .