Simulated Viterbi decoding using importance sampling

IEE Proceedings F: Communications Radar and Signal Processing

Volumn 135, Issue 2, 1988, Pages 133-142

  Herro, M A ^a   Nowack, J M ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

Codes and decoding; Simulation

Indexed keywords

BIT ERROR PROBABILITY; IMPORTANCE SAMPLING; MEMORYLESS SYSTEMS; REQUIRED SAMPLE REDUCTION; SIMULATED VITERBI DECODING;

CODES, SYMBOLIC;

EID: 0023996630     PISSN: 01437070     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-f-1.1988.0019     Document Type: Article

References (8)

1. Jeruchim, M.C.: ‘Techniques for estimating the bit error rate in the simulation of digital communication systems’, IEEE J. Sel. Areas Commun., 1984, SAC-2, pp. 153-170
2. Shanmugam, K.S., And Balaban, P.: ‘A modified Monte-Carlo simulation technique for the evaluation of error rate in digital communication systems’, IEEE Trans., 1980, COM-28, pp. 1916- 1924
3. Balaban, P.: ‘Statistical evaluation of the error rate of the fiber-guide repeater using importance sampling’, Bell Sys. Tech. J., 1976, 55, pp.745-766
4. Marsan, M.A., Benedetto, S., Biglieri, E., Castel-Lani, V., Elia, M., Lopresti, L., and Pent, M.: ‘Digital simulation of communication systems with TOPSIM III’, IEEE J. Sel. Areas Commun., 1984, SAC-2, pp. 29-42
5. Steinberger, M.L., Balaban, P., and Shanmugam, K.S.: ‘On the effect of uplink noise on a nonlinear digital satellite channel’, Int. Conf. on. Comm., 1981,1, pp. 20.2.1-20.2.5
6. Lin, S., and Costello, D.J.: ‘Error control coding: fundamentals and applications’, (Prentice-Hall, Englewood Cliffs, New Jersey, 1983)
7. Forney, G.D., Jr.: ‘Convolutional codes II: maximum likelihood decoding’, Inf. Control, 1974, 25, pp. 222-266
8. Hahn, P.M., and Jeruchim, M.C.: ‘Developments in the theory and application of importance sampling’, IEEE Trans., 1987, COM-35, pp. 706-714