Parallel structures for joint channel estimation and data detection over fading channels

IEEE Journal on Selected Areas in Communications

Volumn 16, Issue 9, 1998, Pages 1616-1629

  Omidi, Mohammad Javad ^b,c   Gulak, P Glenn ^a,b,d,e,f   Pasupathy, S ^a,b,g,h,i,j  

^a IEEE

^b UNIVERSITY OF TORONTO   (Canada)

^c ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^d UNIVERSITY OF MANITOBA   (Canada)

^e STANFORD UNIVERSITY   (United States)

^f ISSCC Sign Proc Tech Subcommittee   (United States)

^g UNIVERSITY OF MADRAS   (India)

^h INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

ⁱ YALE UNIVERSITY   (United States)

^j Yale University ^*

more..

Author keywords

Estimation; Fading channels; Kalman filtering; Maximum likelihood detection; Parallel architectures; Systolic arrays; Viterbi detection

Indexed keywords

BIT ERROR RATE; COMMUNICATION CHANNELS (INFORMATION THEORY); ERROR CORRECTION; FADING (RADIO); KALMAN FILTERING; MAXIMUM LIKELIHOOD ESTIMATION; PARALLEL PROCESSING SYSTEMS; PARAMETER ESTIMATION; PIPELINE PROCESSING SYSTEMS; RADIO RECEIVERS; SIGNAL DETECTION; SYSTOLIC ARRAYS;

JOINT CHANNEL ESTIMATION; UNIT-LOWER-TRIANGULAR-DIAGONAL CORRECTION ALGORITHM; VITERBI DETECTION;

CELLULAR RADIO SYSTEMS;

EID: 0032315964     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/49.737631     Document Type: Article

References (26)

1. M. J. Omidi, S. Pasupathy, and P. G. Gulak, "Joint data and Kalman estimation of fading channel using a generalized Viterbi algorithm," in Proc. Int. Conf. Communications (ICC'96), 1996, pp. 1198-1203.
2. F. M. F. Gaston and G. W. Irwin, "Systolic Kalman filtering: An overview," Proc. IEE, vol. 137, pt. D, no. 4, pp. 235-244, July 1990.
3. M. Jover and T. Kailath, "A parallel architecture for Kalman filter measurement update and parameter estimation," Automatica, vol. 22, no. 1, pp. 43-57, 1986.
4. M. J. Omidi, P. G. Gulak, and S. Pasupathy, "Parallel structures for joint channel estimation and data detection over fading channels," in Proc. IEEE VLSI Signal Processing IX, 1996, pp. 325-336.
5. V. Raghavan, K. R. Pattipati, and Y. Bar-Shalom, "Efficient L-D factorization algorithms for PDA, IMM, and IMMPDA filters," IEEE Trans. Aerosp. Electron. Syst., vol. 29, pp. 1297-1310, Oct. 1993.
6. R. Raheli, A. Polydoros, and C. Tzou, "Per-survivor processing: A general approach to MLSE in uncertain environments," IEEE Trans. Commun., vol. 43, pp. 354-364, Feb.-Apr. 1995.
7. R. A. Iltis, "A Bayesian maximum-likelihood sequence estimation algorithm for a priori unknown channels and symbol timing," IEEE J. Select. Areas Commun., vol. 10, pp. 579-588, Apr. 1992.
8. N. Seshadri, "Joint data and channel estimation using blind trellis search techniques," IEEE Trans. Commun., vol. 42, pp. 1000-1011, Feb.-Apr. 1994.
9. H. Kubo, K. Murakami, and T. Fujino, "An adaptive maximum-likelihood sequence estimator for fast time-varying intersymbol interference channels," IEEE Trans. Commun., vol. 42, pp. 1872-1880, Feb.-Apr. 1994.
10. Q. Dai and E. Shwedyk, "Detection of bandlimited signals over frequency selective Rayleigh fading channels" IEEE Trans. Commun., vol. 42, pp. 941-950, Feb.-Apr. 1994.
11. M. E. Rollins and S. J. Simmons, "Simplified per-survivor Kalman processing in fast frequency-selective fading channels," IEEE Trans. Commun., vol. 45, pp. 544-553, May 1997.
12. E. A. Lee and D. G. Messerschmitt, Digital Communication, 2nd ed. Norwell, MA: Kluwer, 1994.
13. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
14. G. M. Vitetta and D. P. Taylor, "Multisampling receivers for uncoded and coded PSK signal sequences transmitted over Rayleigh frequency-flat fading channels," IEEE Trans. Commun., vol. 44, pp. 130-133, Feb. 1996.
15. J. Lin, F. Ling, and J. G. ,Proakis, "Joint data and channel estimation for TDMA mobile channels," Int. J. Wireless Inform. Networks, vol. 1, no. 4, pp. 229-238, 1994.
16. A. H. Sayed and T. Kailath, "A state-space approach to adaptive RLS filtering," IEEE Signal Processing Mag., July 1994.
17. P. Rao and M. A. Bayoumi, "An efficient VLSI implementation of real-time Kalman filter," in Proc. IEEE Int. Symp. Circuit Syst., 1990, vol. 3, pp. 2353-2356.
18. P. Rao and M. A. Bayoumi, "An algorithm specific VLSI parallel architecture for Kalman filter," in VLSI Signal Processing IV. Piscataway, NJ: IEEE, 1991, pp. 264-273.
19. M. Bayoumi, P. Rao, and B. Alhalabi, "VLSI parallel architecture for Kalman filter an algorithm specific approach," J. VLSI Signal Processing vol. 4, nos. 2-3, pp. 147-163, May 1992.
20. M. S. Grewal and A. P. Andrews, Kalman Filtering, Theory and Practice. Englewood Cliffs, NJ: Prentice-Hall, 1993.
21. P. E. Gill, W. Murray, and M. H. Wright, Practical Optimization. New York: Academic, 1981.
22. G. H. Golub and C. F. V. Loan, Matrix Computations, 2nd ed. Baltimore, MD: Johns Hopkins Press, 1991, p. 13.
23. M. J. Omidi, P. G. Gulak, and S. Pasupathy, "Joint data and channel estimation using the per-branch processing method," in Proc. IEEE Signal Processing Workshop Wireless Communications, Apr. 1997, pp. 389-392.
24. S. Y. Kung, VLSI Array Processors. Englewood Cliffs, NJ: Prentice-Hall, 1988.
25. C. T. Kuo, B. S. Chen, and Z. S. Kuo, "Stability analysis of digital Kalman filters with floating-point computation," J. Guidance, vol. 14, no. 3, pp. 636-644, 1991.
26. F. Ling, D. Manolakis, and J. G. Proakis, "Finite word-length effects in recursive least squares algorithms with application to adaptive equalization," Ann. Telecommun., vol. 41, pp. 1-9, May-June 1986.