Off-line broadband network interface
View Patent ↗A network interface is presented that receives packet data from a shared medium and accomplishes the signal processing required to convert the data packet to host computer formatted data separately from receiving the data packet. The network interface receives the data packet, converts the analog signal to a digitized signal, and stores the resulting sample packet in a storage queue. An off-line processor, which may be the host computer itself, performs the signal processing required to interpret the sample packet. In transmission, the off-line process converts host-formatted data to a digitized version of a transmission data packet and stores that in a transmission queue. A transmitter converts the transmission data packet format and transmits the data to the shared medium.
1. A method of processing a data packet, comprising:
receiving a data packet at a station on a network, the data packet having a preamble which includes a destination tag and a training sequence;
obtaining a channel model using the training sequence;
encoding each of one or more addresses that the station receives with the channel model to produce a result; and
comparing the result with the destination tag.
2. The method of claim 1 , wherein each of the one or more addresses that the station receives is convolved with the channel model to produce the result.
3. The method of claim 1 , wherein multiple data packets are received, and wherein a channel model is obtained for each of the multiple data packets.
4. The method of claim 3 , wherein the multiple data packets are received at one of a plurality of stations on a network, and wherein a training sequence in a preamble of each of the multiple data packets remains fixed for every station on the network.
5. The method of claim 1 , wherein the training sequence is repeated multiple times in the preamble.
6. The method of claim 5 , wherein the training sequence is repeated three times in the preamble.
7. The method of claim 1 , wherein if a match is found between the result and the destination tag, the data packet is processed and used to refine the channel model for subsequently received packets.
8. The method of claim 1 , wherein if a match is not found between the result and the destination tag, the data packet is discarded.
9. The method of claim 1 , wherein the training sequence is a periodic sequence with period N where N is greater than a maximum channel length.
10. The method of claim 9 , wherein N=8 and the training sequence comprises a sequence of QPSK symbols.
11. A method of processing a data packet, comprising:
receiving a data packet having a preamble which includes a destination tag and a training sequence;
obtaining a channel model using the training sequence;
decoding the destination tag using the channel model to produce a result; and
comparing the result with one or more received addresses.
12. The method of claim 11 , wherein the result is produced by convolving the destination tag with the channel model.
13. The method of claim 11 , wherein multiple data packets are received, and wherein a channel model is obtained for each of the multiple data packets.
14. The method of claim 12 , wherein the multiple data packets are received at one of a plurality of stations on a network, and wherein a training sequence in a preamble of each of the multiple data packets remains fixed for every station on the network.
15. The method of claim 11 , wherein the training sequence is repeated multiple times in the preamble.
16. The method of claim 15 , wherein the training sequence is repeated three times in the preamble.
17. The method of claim 11 , wherein if a match is found between the result and the destination tag, the data packet is processed and used to refine the channel model for subsequently received packets.
18. The method of claim 11 , wherein if a match is not found between the result and the destination tag, the data packet is discarded.
19. The method of claim 11 , wherein the training sequence is a periodic sequence with period N where N is greater than a maximum channel length.
20. The method of claim 19 , wherein N=8 and the training sequence comprises a sequence of QPSK symbols.