Backward-compatible long training sequences for wireless communication networks
A network device for generating an expanded long training sequence with a minimal peak-to-average ratio. The network device includes a signal generating circuit for generating the expanded long training sequence. The network device also includes an Inverse Fourier Transform for processing the expanded long training sequence from the signal generating circuit and producing an optimal expanded long training sequence with a minimal peak-to-average ratio. The expanded long training sequence and the optimal expanded long training sequence are stored on more than 52 sub-carriers.
1. A network device for generating an expanded long training sequence with a minimal peak-to-average ratio, the network device comprising:
a signal generating circuit that generates the expanded long training sequence; and
an Inverse Fourier Transformer that processes the expanded long training sequence from the signal generating circuit and that produces an optimal expanded long training sequence with a minimal peak-to-average ratio,
wherein the expanded long training sequence and the optimal expanded long training sequence are stored on a greater number of subcarriers than a standard configuration for Orthogonal Frequency Division Multiplexing scheme.
2. The network device of claim 1 , wherein the expanded long training sequence and the optimal expanded long training sequence are stored on 56 active sub-carriers.
3. The network device of claim 2 , wherein the optimal expanded long training sequence has a minimum peak-to-average power ratio of 3.6 dB.
4. The network device of claim 1 , wherein the expanded long training sequence and the optimal expanded long training sequence are stored on 63 active sub-carriers.
5. The network device of claim 3 , wherein the optimal expanded long training sequence has a minimum peak-to-average power ratio of 3.6 dB.
6. The network device of claim 1 , wherein a binary phase shift key encoding is used for each sub-carrier above the +26 indexed sub-carrier and below the −26 indexed sub-carrier.
7. The network device of claim 1 , wherein the Inverse Fourier Transformer is an Inverse Fast Fourier Transformer.
8. The network device of claim 1 , wherein the Inverse Fourier Transformer is an Inverse Discrete Fourier Transformer.
9. A network device for generating an expanded long training sequence with a minimal peak-to-average ratio, the network comprising:
a signal generating circuit configured to generate the expanded long training sequence; and
an Inverse Fourier Transformer configured to process the expanded long training sequence from the signal generating circuit and configured to produce an optimal expanded long training sequence with a minimal peak-to-average ratio,
wherein the expanded long training sequence and the optimal expanded long training sequence are stored on 56 active sub-carriers.
10. A network device for generating an expanded long training sequence with a minimal peak-to-average ratio, the network comprising:
a signal generating circuit configured to generate the expanded long training sequence; and
an Inverse Fourier Transformer configured to process the expanded long training sequence from the signal generating circuit and configured to produce an optimal expanded long training sequence with a minimal peak-to-average ratio,
wherein the expanded long training sequence and the optimal expanded long training sequence are stored on 63 active sub-carriers.
11. A method for generating an expanded long training sequence with a minimal peak-to-average ratio in a wireless communication device, the method comprising:
generating, by the wireless communication device, the expanded long training sequence;
producing, by the wireless communication device, an optimal expanded long training sequence with a minimal peak-to-average ratio; and
storing, by the wireless communication device, the expanded long training sequence and the optimal expanded long training sequence on more than 52 sub-carriers.
12. The method of claim 11 , wherein said storing comprises storing the expanded long training sequence and the optimal expanded long training sequence on 56 active sub-carriers.
13. The method of claim 12 , wherein said producing comprises producing the optimal expanded long training sequence with a minimum peak-to-average power ratio of 3.6 dB.
14. The method of claim 11 , wherein said storing comprises storing the expanded long training sequence and the optimal expanded long training sequence on 63 active sub-carriers.
15. The method of claim 14 , wherein said producing comprises producing the optimal expanded long training sequence with a minimum peak-to-average power ratio of 3.6 dB.
16. The network device of claim 1 , wherein the network device is a personal digital assistant.
17. The network device of claim 1 , wherein the network device is a laptop computer.
18. The network device of claim 1 , wherein the network device is a cellular telephone.
19. The network device of claim 9 , wherein the network device is a personal digital assistant.
20. The network device of claim 9 , wherein the network device is a laptop computer.
21. The network device of claim 9 , wherein the network device is a cellular telephone.
22. The network device of claim 10 , wherein the network device is a personal digital assistant.
23. The network device of claim 10 , wherein the network device is a laptop computer.
24. The network device of claim 10 , wherein the network device is a cellular telephone.
25. The method of claim 11 , wherein the wireless communication device is a personal digital assistant.
26. The method of claim 11 , wherein the wireless communication device is a laptop computer.
27. The method of claim 11 , wherein the wireless communication device is a cellular telephone.