Abstract
This paper presents an FPGA solution for a high-speed front-end digital receiver of an Electronic Support Measures (ESM) system. An LMS-based adaptive predictor has been chosen to improve the signal-to-noise ratio (SNR) of the received radar signals. Two fine-grained pipelined architectures based on the Delay LMS (DLMS) algorithm have been developed for FPGA implementation. This paper also highlights the importance of choosing a suitable filter architecture in order to utilise FPGA resources resulting in a more efficient implementation. FPGA implementation results, including timing and area, are given and discussed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
D.C. Schleher, Electronic warfare in the information age, Artech House INC., 1999.
S. Haykin, Adaptive filter theory, Third Edition, Prentice-Hall Information and system science series, 1996.
C.F.N. Cowan, R.F. Woods, LK. Ting, E. Key and P.R. Cork, “Preconditioning of radar data using adaptive predictors: algorithm and Implementation,” EUREL meeting on ‘Radar and sonar signal processing’, pp. 21/1–21/2, Peebles Hotel Hydro, July 1998.
P.R. Cork, C.J. Sprigings, R.F. Woods and LK. Ting, “An FPGA adaptive line enhancer for increased radar EW receiver sensitivity,” HPEC’99 workshop, Boston (USA), Sept. 1999.
G. Long, F. Ling, and J.G. Proakis, “The LMS algorithm with delayed coefficient adaptation,” IEEE Trans. Accoust, Speech, Signal Processing, vol. 37, pp. 1397–1405, Sept. 1989.
N.R. Shanbhag and K.K. Parhi, “Relaxed look-ahead pipelined LMS adaptive filters and their application to ADPCM coder,” IEEE Trans., on Circuits and System-II: Analog and Digital Signal Proc., vol. 40, pp. 753–766, Dec. 1993.
M.D. Meyer and D.P. Agrawal, “A high sampling rate delayed LMS filter architecture,”, IEEE Trans., on Circuits and System-II: Analog and Digital Signal Proc., vol. 40, pp. 727–729, Nov. 1993.
B. Widrow, J. McCool, M. Larimore, and C. Johnson, “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE vol. 64, pp. 1151–1162, Aug. 1976.
LK. Ting, R.F. Woods, C.F.N. Cowan, P.R. Cork, and C.J. Sprigings, “High-performance fine-grained pipelined LMS algorithm in Virtex FPGA,” Advanced Signal Processing Algorithms, Architectures, and Implementations X: SPIE San Diego 2000, vol. 4116, pp. 288–299, Aug. 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ting, LK., Woods, R., Cowan, C. (2001). Virtex Implementation of Pipelined Adaptive LMS Predictor in Electronic Support Measures Receiver. In: Brebner, G., Woods, R. (eds) Field-Programmable Logic and Applications. FPL 2001. Lecture Notes in Computer Science, vol 2147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44687-7_38
Download citation
DOI: https://doi.org/10.1007/3-540-44687-7_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42499-4
Online ISBN: 978-3-540-44687-3
eBook Packages: Springer Book Archive