openofdm/docs/source/freq_offset.rst

.. _freq_offset:

Frequency Offset Correction
===========================

:download:`This paper </files/vtc04_freq_offset.pdf>` [1]_ explains why
frequency offset occurs and how to correct it. In a nutshell, there are two
types of frequency offsets. The first is called **Carrier Frequency Offset
(CFO)** and is caused by the difference between the transmitter and receiver's
Local Oscillator (LO). This symptom of this offset is a phase rotation of
incoming I/Q samples (time domain). The second is **Sampling Frequency Offset
(SFO)** and is caused by the sampling effect. The symptom of this offset is a
phase rotation of constellation points after FFT (frequency domain).

The CFO can be corrected with the help of short preamble (Coarse) long preamble
(Fine). And the SFO can be corrected using the pilot sub-carriers in each OFDM
symbol. Before we get into how exactly the correction is done. Let's see
visually how each correction step helps in the final constellation plane.

.. _fig_cons:
.. figure:: /images/cons.png
    :align: center
    :scale: 80%

    Constellation Points Without Any Correction

.. figure:: /images/cons_w_coarse.png
    :align: center
    :scale: 80%

    Constellation Points With Only Coarse Correction

.. figure:: /images/cons_w_coarse_fine.png
    :align: center
    :scale: 80%

    Constellation Points With both Coarse and Fine Correction 

.. _fig_cons_full:
.. figure:: /images/cons_w_coarse_fine_pilot.png
    :align: center
    :scale: 80%

    Constellation Points With Coarse, Fine and Pilot Correction

:numref:`fig_cons` to :numref:`fig_cons_full` shows the constellation points of
a 16-QAM modulated 802.11a packet.

Coarse CFO Correction
---------------------

The coarse CFO can be estimated using the short preamble as follows:

.. math::

    \alpha_{ST} = \frac{1}{16}\angle(\sum_{i=0}^{N-1}\overline{S[i]}S[i+16])

where :math:`\angle(\cdot)` is the phase of complex number and :math:`N \le 144
(160 - 16)` is the subset of short preambles utilized. The intuition is that the
phase difference between S[i] and S[i+16] represents the accumulated CFO over 16
samples.


After getting :math:`\alpha_{ST}`, each following I/Q samples (starting from
long preamble) are corrected as:

.. math::
    
    S'[m] = S[m]e^{-jm\alpha_{ST}}, m = 0, 1, 2, \ldots

In |project|, the coarse CFO is calculated in the ``sync_short`` module, and we
set :math:`N=64`. The ``prod_avg`` in :numref:`fig_sync_short` is fed into a
``moving_avg`` module with window size set to 64.


.. _sec_fine_cfo:

Fine CFO Correction
-------------------

A finer estimation of the CFO can be obtained with the help of long training
sequence inside the long preamble.

The long preamble contains two identify training sequence (64 samples each at 20
MSPS), the phase offset can be calculated as:

.. math::

    \alpha_{LT} = \frac{1}{64}\angle(\sum_{i=0}^{63}\overline{S[i]}S[i+64])

This step is omitted in |project| due to the limited resolution of phase
estimation and rotation in the look up table.

.. [1] Sourour, Essam, Hussein El-Ghoroury, and Dale McNeill.  "Frequency Offset Estimation and Correction in the IEEE 802.11 a WLAN." Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th. Vol. 7.  IEEE, 2004.