A Simple, Accurate Method to Calculate Spread-Spectrum Multiple-Access Error Probabilities

IEEE Transactions on Communications

Volumn 40, Issue 3, 1992, Pages 461-464

  Holtzman, Jack M ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NOISE, SPURIOUS SIGNAL - SIGNAL TO NOISE RATIO; PROBABILITY;

DS/SSMA SYSTEMS; ERROR PROBABILITIES; GAUSSIAN APPROXIMATION; SPREAD-SPECTRUM MULTIACCESS; WHITE ADDITIVE GAUSSIAN NOISE;

RADIO TRANSMISSION;

EID: 0026823866     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/26.135712     Document Type: Article

References (6)

1. M. B. Pursley, “Performance evaluation for phase-coded spread-spectrum multiple-access communication Part I: system analysis,” IEEE Trans. Commun., vol. COM-25, pp. 795-799, Aug. 1977.
2. K. Yao, “Error probability of asynchronous spread spectrum multiple access communication systems,” IEEE Trans. Commun., vol. COM-25, pp. 803-809, Aug. 1977.
3. R. K. Morrow and J. S. Lehnert, “Bit-to-bit error dependence in slotted DS/SSMA packet systems with random signature sequences,” IEEE Trans. Commun., vol. COM-37, pp. 1052-1061, Oct. 1989.
4. J.S. Lehnert and M. B. Pursley, “Error probabilities for binary direct-sequence spread spectrum communications with random signature sequences,” IEEE Trans. Commun., vol. COM-35, pp. 87-98, Jan. 1987.
5. J. M. Holtzman, “On using perturbation analysis to do sensitivity analysis: Derivatives vs. differences,” in Proc. IEEE Conf. Decision Contr., Tampa, FL, Dec. 1989, pp. 2018-2023; also in
6. IEEE Trans. Automat. Contr., vol. 37, pp. 243-247, Feb. 1992.