6.3. Use a Kalman filter to estimate the first-order AR process defined by, x[n] = 0.5x[n 1]+...
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6.3. Use a Kalman filter to estimate the first-order AR process defined by, x[n] = 0.5x[n −1]+ w[n] , where w[n] is zero mean white noise with a varianceσ w2 = 0.64 .
The noisy measurements of x[n] are defined by the equation, y[n] = x[n]+ v[n] ,
where v[n] is unit variance zero mean white noise that is uncorrelated with w[n] (σ v2 =1 ).
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Principles Of Adaptive Filters And Self-learning Systems
ISBN: 9781852339845,9781846281211
1st Edition
Authors: Anthony Zaknich
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