Systems and methods for channel estimation of MoCA signals
View Patent ↗Systems and methods are provided, for estimating a channel based on previous channel estimations from the same source. Embodiments disclosed herein enable removal of the timing variation (from burst to burst) so that the channel can be more accurately estimated. Embodiments provide several systems and methods for averaging channel estimation information from each of the bursts. The systems and methods disclosed herein advantageously improve channel estimation accuracy and reduce modulation error.
1. A Multimedia Over Coax Alliance (MoCA) adapter including a channel estimation module, wherein the channel estimation module is configured to:
receive data from two MoCA transmission bursts, wherein each MoCA transmission burst includes channel estimation data;
remove timing information from the MoCA transmission bursts; and
average the channel estimation data from the MoCA transmission bursts.
2. The MoCA adapter of claim 1 , wherein the channel estimation module is further configured to calculate a phase difference between the MoCA transmission bursts.
3. The MoCA adapter of claim 1 , wherein the channel estimation module is further configured to remove a phase error between the MoCA transmission bursts.
4. The MoCA adapter of claim 3 , wherein the channel estimation module is further configured to remove the phase error using a least mean square method.
5. The MoCA adapter of claim 1 , wherein the channel estimation module is further configured to:
estimate a phase and a frequency of the MoCA transmission bursts; and
average the channel estimation data from the MoCA transmission bursts using the estimated phase and frequency.
6. The MoCA adapter of claim 1 , wherein the channel estimation module is further configured to:
determine a signal to noise ratio (SNR) of a channel used for transmission of the MoCA transmission bursts; and
select a channel estimation algorithm based on the SNR, wherein the channel estimation algorithm is used to average the channel estimation data from the MoCA transmission bursts.
7. A system comprising:
a first Multimedia Over Coax Alliance (MoCA) adapter configured to transmit two MoCA transmission bursts, wherein each MoCA transmission burst includes channel estimation data; and
a second MoCA adapter in communication with the first MoCA adapter, wherein the second MoCA adapter includes a channel estimation module, and wherein the channel estimation module is configured to:
receive the MoCA transmission bursts,
remove timing information from the MoCA transmission bursts, and
average the channel estimation data from the MoCA transmission bursts.
8. The system of claim 7 , wherein the channel estimation module is further configured to calculate a phase difference between the MoCA transmission bursts.
9. The system of claim 7 , wherein the channel estimation module is further configured to remove a phase error between the MoCA transmission bursts.
10. The system of claim 9 , wherein the channel estimation module is further configured to remove the phase error using a least mean square method.
11. The system of claim 7 , wherein the channel estimation module is further configured to:
estimate a phase and a frequency of the MoCA transmission bursts; and
average the channel estimation data from the MoCA transmission bursts using the estimated phase and frequency.
12. The system of claim 7 , wherein the channel estimation module is further configured to:
determine a signal to noise ratio (SNR) of a channel used for transmission of the MoCA transmission bursts; and
select a channel estimation algorithm based on the SNR, wherein the channel estimation algorithm is used to average the channel estimation data from the MoCA transmission bursts.
13. A method comprising:
receiving data from two Multimedia Over Coax Alliance (MoCA) transmission bursts in a channel, wherein each MoCA transmission burst includes channel estimation data;
determining a signal to noise ratio (SNR) of the channel;
selecting a channel estimation algorithm based on the SNR; and
calculating an average channel estimation for the MoCA transmission bursts using the selected channel estimation algorithm, wherein calculating the average channel estimation includes removing timing information from the MoCA transmission bursts.
14. The method of claim 13 , further comprising calculating a phase difference between the MoCA transmission bursts.
15. The method of claim 13 , further comprising removing a phase error between the MoCA transmission bursts.
16. The method of claim 15 , further comprising removing the phase error using a least mean square method.
17. The method of claim 13 , further comprising:
estimating a phase and a frequency of the MoCA transmission bursts; and
averaging the channel estimation data from the MoCA transmission bursts using the estimated phase and frequency.
18. The method of claim 13 , wherein selecting the channel estimation algorithm based on the SNR comprises selecting a first channel estimation algorithm if the SNR is greater than 10 dB and a second channel estimation algorithm if the SNR is lesser than 10 dB.
19. The method of claim 13 , wherein selecting the channel estimation algorithm based on the SNR comprises selecting a channel estimation algorithm incorporating a least mean squares algorithm responsive to determining that the SNR is greater than or equal to a predetermined SNR.
20. The method of claim 13 , wherein selecting the channel estimation algorithm based on the SNR comprises selecting a channel estimation algorithm incorporating a frequency estimation algorithm responsive to determining that the SNR is lesser than a predetermined SNR.
21. The method of claim 13 , further comprising:
determining whether the SNR is greater than or equal to a predetermined SNR; and
selecting the channel estimation algorithm based on whether the SNR is greater than or equal to the predetermined SNR.