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.
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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.
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© 2001 Springer-Verlag Berlin Heidelberg
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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
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DOI: https://doi.org/10.1007/3-540-44687-7_38
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