SINGLE CARRIER HIGH RATE WIRELESS SYSTEM

• US 20080240307A1
• Filed: 03/10/2008
• Published: 10/02/2008
• Est. Priority Date: 03/30/2007
• Status: Active Grant

• Current Assignee: Sony Deutschland GmbH (Sony Group Corp.)
• Original Assignee: Sony Deutschland GmbH (Sony Group Corp.)
• Inventors: Wang, Zhaocheng, Uno, Masahiro
• Granted Patent: US 8,050,339 B2
• Time in Patent Office: Days
• US Class Current: 375/343
• CPC Class Codes: H04L 2025/03522 Frequency domain
• CPC Class Codes: H04L 25/03159 operating in the frequency domain H04L25/03165, H04L25/03178 take precedence
• CPC Class Codes: H04L 27/2607 Cyclic extensions

Abstract

The present invention relates to a signal generator and signal processor for single carrier wireless communication systems with frequency domain equalizer, which are operable to use pseudorandom-noise sequences for cyclic prefix. The different arrangements and examples of said pseudorandom-noise sequences could be used for coarse timing synchronization, channel estimation, carrier synchronization, signal-noise-ration estimation and channel equalization.

Claims

1. A method for generating single carrier wireless communication signal,

whereby said communication signal is based on a temporal frame structure, said frame structure comprising a guard interval and a data frame, said method comprising a step of

inserting a cyclic prefix into said guard interval, said cyclic prefix comprising at least one pseudorandom-noise sequence.

2. A method according to claim 1,

whereby at least two of said pseudorandom-noise sequences are equal to each other.

3. A method according to claim 1,

whereby at least two of said pseudorandom-noise sequences are different to each other.

4. A method according to one of the claims 1 to 3,

whereby said plurality of said pseudorandom-noise sequence is arranged symmetrically within the cyclic prefix.

5. A method according to one of the claims 1 to 4,

whereby at least two of said pseudorandom-noise sequences are arranged alternatingly within the cyclic prefix.

6. A method according to one of the claims 1 to 5,

whereby said at least two pseudorandom-noise sequences are consecutively arranged within the cyclic prefix.

7. A method according to one of the claims 1 to 6,

whereby said cyclic prefix completely fills the guard interval.

8. A method according to one of the claims 1 to 6,

whereby said cyclic prefix is a part of the guard interval.

9. A method according to claim 8,

whereby a remaining part of the guard interval is situated before and/or after said cyclic prefix.

10. A method according to claim 9,

whereby said remaining part of the guard interval comprises a sequence of zeros.

13. A method according to one of the claims 1 to 11,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be different.

11. A method according to one of the above-mentioned claims,

whereby at least one of said pseudorandom-noise sequences corresponds to a maximum length sequence.

12. A method according to one of the above-mentioned claims,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be the same.

14. A signal generator operable to generate single carrier wireless communication signal,

whereby said communication signal is based on a temporal frame structure, said frame structure being operable to provide data management and comprising a guard interval and a data frame,

said transmitter comprising

a cyclic prefix insertion device operable to insert a cyclic prefix into said guard interval, said cyclic prefix comprising at least one pseudorandom-noise sequence.

15. A signal generator according to claim 14,

whereby at least two of said pseudorandom-noise sequences are equal to each other.

16. A signal generator according to claim 14,

whereby at least two of said pseudorandom-noise sequences are different to each other.

17. A signal generator according to one of the claims 14 to 16,

whereby said plurality of said pseudorandom-noise sequence is arranged symmetrically within the cyclic prefix.

18. A signal generator according to one of the claims 14 to 17,

whereby at least two of said pseudorandom-noise sequences are arranged alternatingly within the cyclic prefix.

19. A signal generator according to one of the claims 14 to 18,

whereby said at least one pseudorandom-noise sequence are consecutively arranged within the cyclic prefix.

20. A signal generator according to one of the claims 14 to 19,

whereby said cyclic prefix completely fills the guard interval.

21. A signal generator according to one of the claims 14 to 19,

whereby said cyclic prefix is a part of the guard interval.

22. A signal generator according to claim 19,

whereby a remaining part of the guard interval is situated before and/or after said cyclic prefix.

23. A signal generator according to claim 22,

whereby said remaining part of the guard interval comprises a sequence of zeros.

24. A signal generator according to one of the claims 14 to 23,

whereby at least one of said pseudorandom-noise sequences is a maximum length sequence.

25. A signal processor according to one of the claims 14 to 24,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be the same.

26. A signal processor according to one of the claims 14 to 24,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be different.

27. A method for processing a received single carrier wireless communication signal,

whereby said communication signal is based on a temporal frame structure, said frame structure being operable to provide data management and comprising a guard interval and a data frame,

whereby said guard interval comprises a cyclic prefix, said cyclic prefix comprising at least one pseudorandom-noise sequence,

said method comprising the steps of

correlating at least a part of said at least one pseudorandom-noise sequence of the cyclic prefix with at least one predetermined pseudorandom-noise sequence and

outputting a correlation function.

28. A method according to claim 27,

wherein said method realizes coarse timing synchronization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

29. A method according to claim 28,

wherein said coarse timing synchronization of said single carrier wireless communication signal is based on the autocorrelation peak of said correlation function.

30. A method according to one of the claims 27 to 29,

wherein said method realizes channel estimation of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

31. A method according to one of the claims 27 to 30,

wherein said method realizes carrier synchronization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

32. A method according to claim 31,

wherein said carrier synchronization of said single carrier wireless communication signal is based on the spanned angle of two in-phase/quadrature constellation points of autocorrelation peaks of two consecutive cyclic prefixes.

33. A method according to claim 32,

wherein said carrier synchronization of said single carrier wireless communication signal is based on the phase difference rotation between said two constellation points and on the time interval between the autocorrelation peaks of said two pseudorandom-noise sequences of two consecutive cyclic prefixes.

34. A method according to one of the claims 27 to 33,

wherein said method realizes signal-noise-ratio estimation of said single carrier wireless communication signal is based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

35. A method according to claim 34,

wherein said signal-noise-ratio estimation of said single carrier wireless communication signal is based on the autocorrelation side-lobe of said correlation function, in case the correlation function comprises an auto-correlation side-lobe.

36. A method according to one of the claims 27 to 35,

wherein said method realizes minimum mean-square error channel equalization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

37. A method according to claim 36,

wherein said method comprises steps of

applying Discrete Fourier Transformation to a channel transfer function in the time domain of said communication signal and/or of said correlation function and outputting a channel transfer function in the frequency domain,

estimating signal-noise-ratio of said channel transfer function and/or of said correlation function, and

applying Fast Fourier Transformation to said data frame.

38. A method according to claim 36,

wherein said method comprises steps of

applying Fast Fourier Transformation to a channel transfer function in the time domain of said communication signal and/or of said correlation function and outputting a channel transfer function in the frequency domain,

estimating signal-noise-ratio of said channel transfer function and/or of said correlation function, and

applying Fast Fourier Transformation to said data frame.

39. A method according to claim 37 or 38,

wherein said method comprises a step of realising minimum mean-square error channel equalization by processing said channel

transfer function in the frequency domain, said signal-noise-ratio and said Fast Fourier Transformation of said data frame.

40. A method according to one of the claims 27 to 39,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be the same.

41. A method according to one of the claims 27 to 39,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be different.

42. A signal processor operable to process a received single carrier wireless communication signal,

whereby said communication signal is based on a temporal frame structure, said frame structure being operable to provide data management and comprising a guard interval and a data frame, said guard interval comprising a cyclic prefix, said cyclic prefix comprising at least one pseudorandom-noise sequence

said receiver comprising

a correlation device operable to correlate at least a part of said at least one pseudorandom-noise sequence of the cyclic prefix with at least one predetermined pseudorandom-noise sequence and to output a correlation function.

43. A signal processor according to claim 42,

wherein said signal processor is operable to realize coarse timing synchronization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

44. A signal processor according to claim 43,

wherein said coarse timing synchronization of said single carrier wireless communication signal is based on the autocorrelation peak of said correlation function.

45. A signal processor according to one of the claims 42 to 44,

wherein said signal processor is operable to realize channel estimation of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or correlation function.

46. A signal processor according to one of the claims 42 to 45,

wherein said signal processor is operable to realize carrier synchronization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

47. A signal processor according to claim 46,

wherein said carrier synchronization of said single carrier wireless communication signal is based on the spanned angle of two in-phase/quadrature constellation points of autocorrelation peaks of two pseudorandom-noise sequences of two consecutive cyclic prefixes.

48. A signal processor according to claim 47,

wherein said carrier synchronization of said single carrier wireless communication signal is based on the phase difference rotation between said two constellation points and on the time interval between the autocorrelation peaks of said two consecutive cyclic prefixes.

49. A signal processor according to one of the claims 42 to 48,

wherein said signal processor is operable to realize signal-noise-ratio estimation of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

50. A signal processor according to claim 49,

wherein said signal-noise-ratio estimation of said single carrier wireless communication signal is based on the auto-correlation side-lobe of said correlation function, in case the correlation function comprises an auto-correlation side-lobe.

51. A signal processor according to one of the claims 42 to 50,

wherein said signal processor is operable to realize minimum mean-square error channel equalization of said single carrier wireless communication signal based on said at least a part of said at least one pseudorandom noise sequence and/or on said correlation function.

52. A signal processor according to claim 51,

wherein said signal processor is operable to apply Discrete Fourier Transformation to a channel transfer function in the time domain of said communication signal and/or of said correlation function and to output a channel transfer function in the frequency domain,

to estimate signal-noise-ratio of said channel transfer function and/or of said correlation function, and

to apply Fast Fourier Transformation to said data frame.

53. A signal processor according to claim 51,

wherein said signal processor is operable to apply Fast Fourier Transformation to a channel transfer function in the time domain of said communication signal and/or of said correlation function and to output a channel transfer function in the frequency domain,

to estimate signal-noise-ratio of said channel transfer function and/or of said correlation function, and

to apply Fast Fourier Transformation to said data frame.

54. A signal processor according to claim 52 or 53,

wherein said signal processor is operable to realise minimum mean-square error channel equalization by processing said channel transfer function in the frequency domain, said signal-noise-ratio and said Fast Fourier Transformation of said data frame.

55. A signal processor according to one of the claims 42 to 54,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be the same.

56. A signal processor according to one of the claims 42 to 54,

wherein said cyclic prefix comprises at least one pseudorandom-noise sequence, whereby said one pseudorandom-noise sequence is complex value and comprises one I-channel pseudorandom-noise sequence and one Q-channel pseudorandom-noise sequence, which could be different.