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Error Probabilities for Identification Coding and Least Length Single Sequence Hopping

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Abstract

Upper and lower bounds on the probabilities of the missed and the false identification are proved for Poisson population, for multiple access with least length single sequence hopping, and identification plus transmission coding at each potential source. False identification due to possible worst pairs of identifiers is considered. It is shown, how can one drastically suppress the probability of this event provided not just a single code word but at least a couple of code words might be sent from each source, following each demand, consecutively. An approriate kind of randomization is assumed for this purpose, frequently needed anyhow. The combination of identification plus transmission coding and single sequence hopping might be appealing for certain tasks of identification through a multiple access channel. This might be the case, e.g., for certain public emergency services, meant to convey within some area many kinds of occasional demands from a vast population of potential sources, each sending a very short message following a demand, very infrequently.

Presented in part at IEEE Intern. Workshop on Inform. Theory, Haifa, Israel, June 9–14, 1996. Research of both authors was partially supported by 1995–98, Project Math. Inform. Theory of the Royal Belgian Ac. Sc., Letts. and Fine Arts, and the Hung. Ac. of Sc.

Research was partially supported also by the Hung. Nat. Sc. Res. Found. Grant No. OTKA 11601–206.

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van der Meulen, E.C., Csibi, S. (2000). Error Probabilities for Identification Coding and Least Length Single Sequence Hopping. In: Althöfer, I., et al. Numbers, Information and Complexity. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6048-4_19

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  • DOI: https://doi.org/10.1007/978-1-4757-6048-4_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4967-7

  • Online ISBN: 978-1-4757-6048-4

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