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On Detection of Gaussian Stochastic Sequences

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Abstract

We consider the minimax detection problem for a Gaussian random signal vector in white Gaussian additive noise. It is assumed that an unknown vector σ of signal vector intensities belongs to a given set ε. We investigate when it is possible to replace the set ε with a smaller set ε0 without loss of quality (and, in particular, replace it with a single point σ0).

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References

  1. Wald, A., Statistical Decision Functions, New York: Wiley, 1950. Translated under the title Statisticheskie reshayushchie funktsii, in Pozitsionnye igry (Positional Games), Moscow: Nauka, 1967, pp. 300–522.

    Google Scholar 

  2. Lehmann, E.L., Testing Statistical Hypotheses, New York: Wiley, 1959. Translated under the title Proverka statisticheskikh gipotez, Moscow: Nauka, 1979.

    MATH  Google Scholar 

  3. Burnashev, M.V., On the Minimax Detection of an Inaccurately Known Signal in a White Gaussian Noise Background, Teor. Veroyatnost. i Primenen., 1979, vol. 24, no. 1, pp. 106–118 [Theory Probab. Appl. (Engl. Transl.), 1979, vol. 24, no. 1, pp. 107–119].

    MathSciNet  MATH  Google Scholar 

  4. Zhang, W. and Poor, H.V., On Minimax Robust Detection of Stationary Gaussian Signals in White Gaussian Noise, IEEE Trans. Inform. Theory, 2011, vol. 57, no. 6, pp. 3915–3924.

    Article  MathSciNet  MATH  Google Scholar 

  5. Ponomarenko, L.S., On Estimating Distributions of Normalized Quadratic Forms of Normally Distributed Random Variables, Teor. Veroyatnost. i Primenen., 1985, vol. 30, no. 3, pp. 545–549 [Theory Probab. Appl. (Engl. Transl.), 1985, vol. 30, no. 3, pp. 580–584].

    MathSciNet  MATH  Google Scholar 

  6. Bakirov, N.K., Comparison Theorems for Distribution Functions of Quadratic Forms in Gaussian Variables, Teor. Veroyatnost. i Primenen., 1995, vol. 40, no. 2, pp. 404–412 [Theory Probab. Appl. (Engl. Transl.), 1995, vol. 40, no. 2, pp. 340–348].

    MathSciNet  MATH  Google Scholar 

  7. Burnashev, M.V., Two Comparison Theorems for Distributions of Gaussian Quadratic Forms, Probl. Peredachi Inf., 2017, vol. 53, no. 3, pp. 3–15 [Probl. Inf. Trans. (Engl. Transl.), 2017, vol. 53, no. 3, pp. 203–214].

    MathSciNet  Google Scholar 

  8. Petrov, V.V., Summy nezavisimykh sluchainykh velichin, Moscow: Nauka, 1972. Translated under the title Sums of Independent Random Variables, Berlin: Springer, 1975.

    MATH  Google Scholar 

  9. Chernoff, H., A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the Sum of Observations, Ann. Math. Statist., 1952, vol. 23, no. 4, pp. 493–507.

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to M. V. Burnashev.

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Original Russian Text © M.V. Burnashev, 2017, published in Problemy Peredachi Informatsii, 2017, Vol. 53, No. 4, pp. 49–68.

The research was carried out at the Institute for Information Transmission Problems of the Russian Academy of Sciences at the expense of the Russian Science Foundation, project no. 14-50-00150.

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Burnashev, M.V. On Detection of Gaussian Stochastic Sequences. Probl Inf Transm 53, 349–367 (2017). https://doi.org/10.1134/S0032946017040044

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  • DOI: https://doi.org/10.1134/S0032946017040044

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