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Phase Lock Loop (PLL): Difference between revisions

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As elaborated [[Baseband Processing|previously]], the output of the correlation and accumulation blocks can be written in its in-phase (I) and quadrature (Q) components as:
As elaborated [[Baseband Processing|previously]], the output of the correlation and accumulation blocks can be written in its in-phase (I) and quadrature (Q) components as:
[[File:pll_principle.png|right|thumb|350px|'''''Figure 1:''''' Representation of the Prompt Correlator output.]]


<math>I_P = A_X d_X R_X (\tau_e) cos(\phi_e) </math>
<math>I_P = A_X d_X R_X (\tau_e) cos(\phi_e) </math>
Line 23: Line 26:
<math>Q_P = -A_X d_X R_X (\tau_e)sin(\phi_e) </math>
<math>Q_P = -A_X d_X R_X (\tau_e)sin(\phi_e) </math>


[[File:pll_principle.png|right|thumb|350px|'''''Figure 1:''''' Representation of the Prompt Correlator output.]]


where
where

Revision as of 15:12, 5 May 2011


ReceiversReceivers
Title Phase Lock Loop (PLL)
Author(s) GMV
Level Advanced
Year of Publication 2011
Logo GMV.png


Phase Lock Loops are part of the Tracking Loops and aim at tracking the phase of the incoming GNSS signal, providing a correction of the phase in a continuous loop.


Principle

The Phase Lock Loop (PLL) tracks and estimates the current misalignment between the prompt correlator and the incoming signal phase, within the tracking loops. For that purpose, the PLL uses integrations, filters and Numerical Control Oscillators (NCO) – described here – as any other loop. The specificity relies on the discriminator used to assess the current phase error estimated at the receiver.

As elaborated previously, the output of the correlation and accumulation blocks can be written in its in-phase (I) and quadrature (Q) components as:

Figure 1: Representation of the Prompt Correlator output.


[math]\displaystyle{ I_P = A_X d_X R_X (\tau_e) cos(\phi_e) }[/math]

[math]\displaystyle{ Q_P = -A_X d_X R_X (\tau_e)sin(\phi_e) }[/math]


where

  • [math]\displaystyle{ R_X }[/math] is the auto-correlation of the X code
  • [math]\displaystyle{ P }[/math] stands for the Prompt replica, i.e. the replica generated at the receiver which is aligned with the incoming signal
  • [math]\displaystyle{ \tau_e }[/math] is the error of the code delay estimated at the receiver
  • [math]\displaystyle{ \phi_e }[/math] is the error of the carrier phase estimated at the receiver


Figure 1 represents the output of the In-phase and Quadrature components of the prompt correlator. When tracking the signal correctly, the prompt vector should be, ideally, in the In-phase axis (with no Quadrature component). Therefore the phase error can be retrieved from the phase of the correlator using [math]\displaystyle{ P_I }[/math] and [math]\displaystyle{ P_Q }[/math] and the PLL will act so as to minimize this error.

Discriminators

Two types of Phase Lock Loop discriminators are often mentioned [1]:


  • Sensitive to bit transitions, hence phase shifts

The most common discriminator sensitive to bit transitions is

[math]\displaystyle{ \phi_e =ATAN2(Q_P,I_P) }[/math]

which is optimal but presents a high computational burden. In order to use such discriminator, the receiver must ensure that the inputs do not include bit transitions, e.g. doing data wipe-off during the integration.


  • Insensitive to bit transitions; also called Costas loop

The classic Costas loop discriminator is given by the near optimal:

[math]\displaystyle{ sin(2\phi_e) =Q_P \times I_P }[/math]


Other examples of Costas loop include

[math]\displaystyle{ tan(\phi_e) =Q_P / I_P }[/math]

[math]\displaystyle{ \phi_e =ATAN(Q_P / I_P) }[/math]

The choice of the discriminator is a trade-off between performance of the PLL as well as the required hardware resources and complexity.

Performance

The main sources of errors in the PLL are phase jitter and dynamic stress error [1], which are greatly produced by thermal noise. The PLL thermal noise jitter for an arctangent PLL can be written (in meters) as:

[math]\displaystyle{ \sigma_{th}=\frac{\lambda}{2 \pi} \sqrt{\frac{B_n}{C/N_0}(1+\frac{1}{2TC/N_0})} }[/math]

Where

  • [math]\displaystyle{ \lambda }[/math] is wavelength of the carrier signal [m]
  • [math]\displaystyle{ B_n }[/math] is the loop bandwidth [Hz]
  • [math]\displaystyle{ C/N_0 }[/math] is the carrier to noise ratio [dB-Hz]
  • T is the integration time [s]


The performance of the PLL depends mainly on the loop bandwidth and the integration times used to accumulate the correlator outputs. The impact of these parameters is shown in Figure 2, and they are visible mainly for low carrier to noise ratio.


Figure 2: Impact of loop bandwidth (left) and integration time (right) on the PLL thermal noise jitter performance.


These results also illustrate the fact that longer integration times (and shorter bandwidths) lead to noise reduction and hence higher performances, as discussed previously.

Related articles

References

  1. ^ a b Kaplan E.D., Hegarty C.J.,"Understanding GPS: Principles and Applications", second edition