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Estimation of discrete-time systems using pseudorandom sequences

Estimation of discrete-time systems using pseudorandom sequences

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The pseudorandom binary sequence is applied to the parameter estimation of discrete-time systems. The proposed method, based on correlation analysis and system theory, requires a smaller number of correlators than the other methods. The estimates of the parameters are shown to be asymptotically unbiased.

Inspec keywords: estimation theory; binary sequences; correlation methods; discrete time systems

Other keywords: estimation theory; correlation methods; pseudorandom sequences; discrete time systems; binary sequences

Subjects: Information theory; Discrete control systems; Information theory

References

    1. 1)
      • C.J. MaCleod . System identification using time-weighted pseudo-random sequences. Int. J. Contr. , 97 - 109
    2. 2)
      • R.C.K. Lee . (1964) , Optimal estimation, identification and control.
    3. 3)
      • C.J. Macleod . Parameter estimation using pseudorandom binary sequences. Electron. Lett. , 35 - 36
    4. 4)
      • D.W. Clarke , P.A.N. Briggs . Errors in weighting sequence estimation. Int. J. Contr. , 49 - 56
    5. 5)
      • E. Parzen . (1960) , Modern probability theory and its applications.
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