Examination of an adaptive dfe and MLSE/near-MLSE for fading multipath radio channels

Author(s): P.K. Shukla and L.F. Turner
DOI: 10.1049/ip-i-2.1992.0058

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Author(s): P.K. Shukla ¹ and L.F. Turner ²
- Affiliations: 1: Hirst Research Centre, GEC, Wembley, UK
  2: Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, London, UK
Source: Volume 139, Issue 4, August 1992, p. 418 – 428
DOI: 10.1049/ip-i-2.1992.0058 , Print ISSN 0956-3776, Online ISSN 2053-9053

This paper examines the performance over an HF channel of two adaptive equalisers; the decision feedback equaliser (DFE) and the maximum likelihood sequence estimator (MLSE), or an approximation to it (near-MLSE). It is shown that the superiority of the more complex MLSE/near-MLSE over the DFE is not great, and that this advantage is only due to error propagation in the DFE. In the absence of any special arrangement by which the receiver can re-align itself (e.g. periodic training), 16-QAM appears to be the highest feasible signal constellation size. With the periodic insertion of known symbols into the data stream, it is shown that performance can be maintained near the level for which decision errors do not affect the tracking algorithm. With the facility of a request-for-training link to the transmitter, it is shown that performance can be significantly improved for all constellation sizes, with only a small loss in the useful data rate.

References

1. 1)
  - Hsu, F.M., Giordano, A.A., de Pedro, H.E., Proakis, J.G.: `Adaptive equalization techniques for high-speed transmission on fading dispersive HF channels', NTC'80, 1980, New York, USA, IEEE, p. 58.1/1–7.
2. 2)
  - G.D. Forney . Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference. IEEE Trans. , 3 , 363 - 378
3. 3)
  - D.D. Falconer , A.U.H. Sheikh , E. Eleftheriou , M. Tobis . Comparison of DFE and MLSE receiver performance on HF channels. IEEE Trans. , 5 , 484 - 486
4. 4)
  - F. Ling , J.G. Proakis . Adaptive lattice decision-feedback equalizers—their performance and application to time-variant multipath channels. IEEE Trans. , 4 , 348 - 356
5. 5)
  - G.J. Foschini . Equalizing without altering or detecting data. AT & T Tech. J. , 8 , 1885 - 1911
6. 6)
  - K.H. Mueller , D.A. Spaulding . Cyclic equalization — a new rapidly converging equalization technique for synchronous data communication. Bell Syst. Tech. J. , 2 , 369 - 406
7. 7)
  - A.P. Clark , R. Harun . Assessment of Kalman-filter channel estimators for an HF radio link. IEE Proc. F , 513 - 521
8. 8)
  - G.J. Foschini . A reduced state variant of maximum likelihood sequence detection attaining optimum performance for high signal-to-noise ratios. IEEE Trans. , 5 , 605 - 609
9. 9)
  - J.G. Proakis . , Digital communications.
10. 10)
  - A.P. Clark , H.Y. Najdi , M.J. Fairfield . Data transmission at 19.2 kbit/s over telephone circuits. Radio Electron. Eng. , 4 , 157 - 166
11. 11)
  - A.A. Giordano , F.M. Hsu . (1985) , Least-square estimation with applications to digital signal processing.
12. 12)
  - S.U.H. Qureshi . Adaptive equalization. Proc. IEEE , 9 , 1349 - 1387
13. 13)
  - E. Eleftheriou , D.D. Falconer . Adaptive equalization techniques for HF channels. IEEE J. Sel. Areas Commun , 2 , 238 - 247
14. 14)
  - Shukla, P.K., Turner, L.F.: `A comparison of a channel-estimate-based decision feedback equalizer (DFE) and a conventional recursive least squares DFE as a means of combating multipath interference', Digest 1990/21, IEE Colloquium on Methods of combating multipath, 1990.
15. 15)
  - C.T. Beare . The choice of the desired impulse response in combined linear-Viterbi algorithm equalizers. IEEE Trans. , 8 , 1301 - 1307
16. 16)
  - S.U.H. Qureshi , E.E. Newhall . An adaptive receiver for data transmission over time-dispersive channels. IEEE Trans. , 4 , 448 - 457
17. 17)
  - D.D. Falconer , F.R. Magee . Evaluation of decision feedback equalization and Viterbi algorithm detection for voiceband data transmission. IEEE Trans.
18. 18)
  - Shukla, P.K.: `Adaptive equalization of fading radio channels', 1988, PhD Thesis, Imperial College of Science, Technology and Medicine, University of London.
19. 19)
  - A.P. Clark , C.P. Kwong , J.D. Harvey . Detection processes for severely distorted digital signals. Electronic Circuits and Systems , 1 , 27 - 37
20. 20)
  - A.P. Clark , S.M. Asghar . Detection of digital signals transmitted over a known time-varying channel. IEE Proc. F , 3 , 167 - 174
21. 21)
  - A.P. Clark , M.J. Fairfield . Detection processes for a 9600 bit/s modem. Radio Electron. Eng. , 9 , 455 - 465
22. 22)
  - Clark, A.P., McVerry, F.: `Performance of 2400 bits/s serial and parallel modems over an HF channel simulator', Proceedings of IERE conference on digital processing of signals in communication, 1981, Loughborough UK, p. 167–179.
23. 23)
  - A.P. Clark , S.N. Abdullah . Near-maximum-likelihood detectors for voiceband channels. IEE Proc. F , 3 , 217 - 226
24. 24)
  - A. Benveniste , M. Goursat . Blind equalizers. IEEE Trans. , 8 , 871 - 883
25. 25)
  - F.M. Hsu . Square root Kalman filtering for high-speed data received over fading dispersive HF channels. IEEE Trans. , 5 , 753 - 763
26. 26)
  - A.P. Clark , H.Y. Najdi . Detection process of a 9600 bit/s serial modem for HF radio links. IEE Proc. F , 5 , 368 - 376
27. 27)
  - A.D. Fagan , F.D. O'Keane . Performance comparison of detection methods derived from maximum-likelihood sequence estimation. IEE Proc. F , 6 , 535 - 542
28. 28)
  - A.P. Clark , M. Clayden . Pseudobinary Viterbi detector. IEE Proc. F , 2 , 208 - 218
29. 29)
  - A.P. Clark , Z.C. Zhu , J.K. Joshi . Fast start-up channel estimation. IEE Proc. F , 4 , 375 - 382
30. 30)
  - Y. Sato . A method of self-recovering equalization for multilevel amplitude-modulation systems. IEEE Trans. , 679 - 682
31. 31)
  - D.N. Godard . Self-recovering equalization and carrier tracking in two-dimensional data communication systems. IEEE Trans. , 11 , 1867 - 1875
32. 32)
  - G.J. Foschini . Performance bound for maximum likelihood reception of digital data. IEEE Trans. , 47 - 50
33. 33)
  - G. Ungerboeck . Adaptive maximum-likelihood receiver for carrier-modulated data-transmission systems. IEEE Trans. , 5 , 624 - 636
34. 34)
  - de Pedro, H.E., Hsu, F.M., Giordano, A.A., Proakis, J.G.: `Signal design for high-speed serial transmission on fading dispersive channels', NTC '78, 1978, New York, USA, IEEE, p. 27.4/1–4.
35. 35)
  - A.P. Clark , J.D. Harvey , J.P. Driscoll . Near-maximum-likelihood detection processes for distorted digital signals. Radio Electron. Eng. , 6 , 301 - 309
36. 36)
  - P.K. Shukla , L.F. Turner . Channel-estimation-based adaptive DFE for fading multipath radio channels. IEE Proc. I , 6 , 525 - 543
37. 37)
  - A.P. Clark , F. McVerry . Channel estimation for an HF radio link. IEE Proc. F , 1 , 33 - 42
38. 38)
  - D.D. Falconer , F.R. Magee . Adaptive channel memory truncation for maximum likelihood sequence estimation. Bell Syst. Tech. J. , 9 , 1541 - 1562

Examination of an adaptive dfe and MLSE/near-MLSE for fading multipath radio channels

Examination of an adaptive dfe and MLSE/near-MLSE for fading multipath radio channels

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