Combined self-organising feature map - LMS adaptive filter for digital co-channel interference suppression

Electronics Letters

Volumn 32, Issue 3, 1996, Pages 168-169

  Dominique, F ^a   Subramanian, T P ^a  

^a NONE   (United States)

Author keywords

Adaptive filters; Self organising feature maps

Indexed keywords

BIT ERROR RATE; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DIGITAL COMMUNICATION SYSTEMS; ERROR ANALYSIS; INTERFERENCE SUPPRESSION; PERFORMANCE; SIGNAL INTERFERENCE; SIGNAL TO NOISE RATIO;

BAUD RATES; MEAN SQUARED ERROR; SELF ORGANIZING FEATURE MAPS; SIGNAL OF INTEREST; SIGNAL TO INTERFERENCE VOLTAGE RATIO; WEIGHT ERROR POWER;

ADAPTIVE FILTERING;

EID: 0030084505     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19960147     Document Type: Article

References (4)

1. WIDROW, B., GLOVER, J.R., MCCOOL, J., KAUNITZ, J., WILLIAMS, C.S., HEARN, R.H., ZEIDLER, J.R., DONG, E., and GOODLIN, RC.: 'Adaptive noise cancelling: Principles and applications', Proc. IEEE, 1975, 63, (12), pp. 1692-1716
2. KOHONEN, T., RAIVIO, K., SIMULA, O., and HENRIKSSON, J.: 'Start-up behaviour of a neural network assisted decision feedback equalizer in a two path channel'. Proc. IEEE Int. Conf. Commun., 1992, pp. 1523-1527
3. DOUGLAS, S.C., and MENG, T.H.Y.: 'The optimum scalar data nonlinearity in LMS adaptation for arbitrary I.I.D. inputs', IEEE Trans, 1992, COM-40, pp. 1566-1570
4. HAYKIN, S.: 'Neural networks: A comprehensive foundation' (IEEE Press, 1994)