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Problem 8.31 A discrete-time random process is defined by nnn WYY += −1α n = …, -1, 0, +1, … where the zero-mean random process Wn is stationary with autocorrelation function RW(k) = σ2δ(k). What is the autocorrelation function Ry(k) of Yn? Is Yn a wide-sense stationary process? Justify your answer. Solution We partially address the question of whether Yn is wide-sense stationary (WSS) first by noting that [ ] [ ] [ ] [ [ ]1 1 1 − − − = += += n nn nnn Y WY WYY E EE EE α α ] α since E[Wn] = 0. To be WSS, the mean of the process must be constant and consequently, we must have that E[Yn] = 0 for all n, to satisfy the above relationship. We consider the autocorrelation of Yn in steps. First note that RY(0) is given by [ ] [ ]2)0( nnnY YYYR EE == and that RY(1) is [ ] [ ][ ] [ ]nnn nnn nnY WYY WYY YYR EE E E += += = + 2 1 )( )1( α α Although not explicitly stated in the problem, we assume that Wn is independent of Yn, thus E[YnWn] = E[Yn]E[Wn] = 0, and so )0()1( YY RR α= We prove the result for general positive k by assuming RY(k) = αkRY(0) and then noting that [ ] [ ] [ ] [ knnknn knknn knnY WYYY WYY YYkR ++ ++ ++ += += ] =+ EE E E α α )( )1( 1 Continued on next slide Excerpts from this work may be reproduced by instructors for distribution on a not-for-profit basis for testing or instructional purposes only to students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted by Sections 107 or 108 of the 1976 United States Copyright Act without the permission of the copyright owner is unlawful. page…8-37 Problem 8.31 continued To evaluate this last expression, we note that, since L= +++= ++= += −−− −− − nnnn nnn nnn WWWY WWY WYY 12 2 3 3 12 2 1 ααα αα α we see that Yn only depends on Wk for k ≤ n. Thus E[YnWn+k] = 0. Thus, for positive k, we have )0( )()1( 1 Y k YY R kRkR += =+ α α Using a similar argument, a corresponding result can be shown for negative k. Combining the results, we have )0()( Y k Y RkR α= Since the autocorrelation only depends on the time difference k, and the process is wide- sense stationary. Excerpts from this work may be reproduced by instructors for distribution on a not-for-profit basis for testing or instructional purposes only to students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted by Sections 107 or 108 of the 1976 United States Copyright Act without the permission of the copyright owner is unlawful. page…8-38
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