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I'm looking to apply an optimal LQR filter to a discrete signal of the form $$ x[n]=A\sin(\omega_0n+\phi)+v[n] $$ The amplitude $A$ and the phase $\phi$ are unknown variables I want to estimate using the filter, and $v[n]$ is an uncorrelated noise signal of variance $\sigma_v^2$.

I don't know how to build a state model to generate this sine wave, and proceed from there.

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  • $\begingroup$ I did something similar in the past except we wanted to track the frequency. From what I recall we used 4 states states : Amplitude, derivate of x[n], frequency, frequency derivate $\endgroup$ – Ben May 27 '18 at 17:55
  • $\begingroup$ Is $\omega_0$ known? $\endgroup$ – Peter K.♦ May 27 '18 at 21:18
  • $\begingroup$ Yes $\omega_0$ is known $\endgroup$ – Steve.G Ayeni May 28 '18 at 15:57
  • $\begingroup$ @Ben Please could you explain how you did that better? Any materials to help on this ? I am still confused. $\endgroup$ – Steve.G Ayeni May 28 '18 at 22:33
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You could use a nonlinear Kalman filter, such as the extended Kalman filter (EKF), and track the phase and frequency as your state variables.

In this case, your Kalman filter is essentially acting like a phase-locked loop (PLL).

Example reference

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