Adaptive MLSE performance on the D-AMPS 1900 channel

IEEE Transactions on Vehicular Technology

Volumn 46, Issue 3, 1997, Pages 634-641

  Jamal, Karim ^a  

^a ERICSSON RESEARCH   (Sweden)

Author keywords

Channel estimation; Fractionally spaced equalization; MLSE; Tracking

Indexed keywords

ALGORITHMS; CHANNEL CAPACITY; COMPUTER SIMULATION; DIVERSITY RECEPTION; EQUALIZERS; LEAST SQUARES APPROXIMATIONS; SIGNAL FILTERING AND PREDICTION;

MAXIMUM LIKELIHOOD SEQUENCE ESTIMATION (MLSE);

COMMUNICATION CHANNELS (INFORMATION THEORY);

EID: 0031209513     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/25.618189     Document Type: Article

References (19)

1. G. Larsson, B. Gudmundson, and K. Raith, Receiver performance of the North American digital cellular system, in Proc. IEEE VTC'91, St. Louis, MI, May 19-22, 1991, pp. 1-6.
2. Y. Wan, Q. Liu, and A.M. Sendyk, A fractionally spaced maximum likelihood sequence estimation receiver in a multipath fading environment, in Proc. IEEE ICASSP'92, San Francisco, CA, pp. 689-692.
3. Q. Liu and Y. Wan, An adaptive maximum-likelihood sequence estimation receiver with dual-diversity combining/selection, in Proc. IEEE 3rdPIMRC, Boston, MA, Oct. 19-21, 1992, pp. 245-249.
4. K. Okanoue, A. Ushirokawa, H. Tomita, and Y. Furuya, New MLSE receiver free from sample timing and input level controls, in Proc. IEEE 43rd VTC, Secaucus, NJ, May 18-20, 1993, pp. 409-411.
5. K.A. Hamied and G. L. Stiiber, An adaptive truncated MLSE receiver for Japan digital cellular, in Proc. IEEE 5th PIMRC, Hague, The Netherlands, Sept. 18-22, 1994, pp. 645-649.
6. W.H. Sheen and G. L. Stuber, MLSE equalization and decoding for multipath-fading channels, IEEE Trans. Commun., vol. 39, pp. 1455-1464, Oct. 1991.
7. L. Lindbom, Adaptive equalization for fading mobile radio channels, Licentiate thesis, Technol. Dept., Uppsala Univ., Uppsala, Sweden, 1992.
8. _, Simplified Kaiman estimation of fading mobile radio channels: High performance at LMS computational load, in Proc. IEEE ICASSP, Minneapolis, MM, Apr. 27-30, 1993, pp. 352-355.
9. E. Dahlman, A study of adaptive detectors for fast-varying mobileradio channels, Ph.D. dissertation, Telecom. Theory Dept., Royal Instit. Technol., Stockholm, Sweden, 1992.
10. S.A. Fechtel and H. Meyr, An investigation of channel estimation and equalization techniques for moderately rapid fading HF-channels, in Proc. IEEE ICC, June 1991, pp. 768-772.
11. E. Eleftheriou and D.D. Falconer, Tracking properties and steady-state performance of RLS adaptive filter algorithms, IEEE Trans. Acoust, Speech, Signal Processing, vol. ASSP-34, no. 5, pp. 1097-1110, 1986.
12. R.H. Clarke, A statistical theory of mobile-radio reception, Bell Syst. Tech. ]., vol. 2, pp. 957-1000, 1968.
13. G.E. Bottomley and K. Jamal, Adaptive arrays and MLSE equalization, in Proc. IEEE 45th VTC, Chicago, IL, July 26-28, 1995, pp. 50-54.
14. G.E. Bottomley and S. Chennakeshu, Adaptive MLSE equalization forms for wireless communications, in Virginia Tech's 5th Symp. Wireless Personal Communications, Blacksburg, VA, May 31-June 2, 1995.
15. 800 MHz cellular system, TDMA radio interface, dual-mode mobile station-Base station compatibility standard, IS-136.
16. PCS 18136-based air-interface compatibility 1900 MHz standard, Part I, SP 3388-1, J-STD-011.
17. PCS 18136-based air-interface compatibility 1900 MHz standard, Part II, SP 3388-2, J-STD-011.
18. PCS 18136-based mobile station minimum performance 1900 MHz standard, SP 3386, J-STD-009.
19. PCS 18136-based base station minimum performance 1900 MHz standard, SP 3387, J-STD-010.