An iterative near-far resistant algorithm for joint parameter estimation in asynchronous CDMA systems

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Volumn 1, Issue , 1994, Pages 199-203

  Radovic, Andrej ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; INTELLIGENT SYSTEMS; ITERATIVE METHODS; MAXIMUM PRINCIPLE; MONTE CARLO METHODS; RADIO COMMUNICATION; STOCHASTIC SYSTEMS;

ASYNCHRONOUS MULTI-USER; DIRECT SEQUENCE SPREAD SPECTRUM; EXPECTATION-MAXIMIZATION ALGORITHMS; JOINT PARAMETER ESTIMATIONS; MULTISTAGE-ALGORITHMS; RECEIVER STRUCTURE; STOCHASTIC APPROXIMATIONS; SUCCESSIVE INTERFERENCE CANCELLATIONS;

PARAMETER ESTIMATION;

EID: 85013590620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WNCMF.1994.530792     Document Type: Conference Paper

References (15)

1. S. Verdu, “Minimum probability of error for asynchronous Gaussian multiple-access channels,” IEEE Trans. Inform. Theory, vol. IT-32, pp. 85-96, Jan. 1986.
2. V. Poor and S. Verdu, “Single-user detectors for multiuser channels,” IEEE Trans. Commun., vol. COM-36, pp. 50-60, Jan. 1988.
3. R. Lupas and S. Verdu, “Linear multiuser detectors for synchronous code-division multiple-access channels,” IEEE Trans. Inform. Theory, vol. IT-35, pp. 123-136, Jan. 1989.
4. M. K. Varanasi and B. Aazhang, “Multistage detection in asynchronous code-division multiple-access communications,” IEEE Trans. Commun., vol. COM-38, Apr. 1990. Z. Xie, C. R. Rushforth, and R. T. Short, “Mul-tiuser signal detection using sequential decoding,” IEEE
5. Trans. Commun., vol. 38, pp. 578-583, May 1990.
6. B. Aazhang, B.-P. Paris, and G. Orsak, “Neural networks for multiuser detection in code-division multiple-access communications,” IEEE Trans. Commun., vol. COM-40, July 1992.
7. A. P. Dempster, N. M. Laird, and D.B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statist. Soc., Ser. B, vol. 39, no. l, pp. 1-38, 1977.
8. H. Kushner and D. Clark, Stochastic Approximation Methods for Constrained and Unconstrained Systems. New York: Springer, 1978.
9. A. Benveniste, M. Metivier, and P. Priouret, Adaptive Algorithms and Stochastic Approximations. The Springer Series of Applications of Mathematics, Springer, 1990.
10. A. Radovic and B. Aazhang, “Iterative algorithms for joint data detection and delay estimation for code division multiple access communication systems,” in Proc. of the Slst Annual Allerton Conference on Communication, Control, and Computing, (Allerton House, Monticello, IL), Sept. 29-Oct. 11993.
11. Y. Steinberg and H. V. Poor, “On sequential delay estimation in wideband digital communication systems,” in Proc. of Int. Symposium on Information Theory, (San Antonio, TX), Jan. 17-22, 1993.
12. H. V. Poor, An Introduction to Signal Detection and Estimation. New York, NY: Springer-Verlag, 1988.
13. J. M. Ortega and W. C. Rheinboldt, Iterative Solution of Nonlinear Equations in Several Variables. New York, NY: Academic Press, 1970.
14. M. Feder and E. Weinstein, “Parameter estimation of superimposed signals using the EM algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-36, pp. 477-489, Apr. 1988.
15. M. B. Pursley and H. F. A. Roefk, “Numerical evaluation of correlation parameters for optimal phases of binary shift-register sequences,” IEEE Trans. Commun., vol. COM-27, pp. 1597-1604, Oct. 1979.