IP Library Granted Patent US 8,532,161
Granted Patent B2
US 8,532,161 · App. 12/817,798 · Granted Sep 10, 2013

Method and apparatus that facilitates estimating Doppler spread for uplink transmissions

Inventors: Renqiu Wang (San Diego, CA); Hao Xu (San Diego, CA)
Assignee: QUALCOMM Incorporated
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Quick Facts
Patent No.
US 8,532,161
App. No.
12/817,798
Granted
Sep 10, 2013
Kind
B2
Abstract

Methods, apparatuses, and computer program products are disclosed for performing a Doppler spread estimation. In a first embodiment, an energy associated with a communication from a wireless terminal is ascertained based on at least one pilot symbol and at least one data symbol. Each of an energy variance and a noise variance are then determined to facilitate estimating a speed of the wireless terminal based on the energy variance normalized by the noise variance. In another embodiment, a signal received from a wireless terminal is decoded and replicated. A channel estimate associated with a set of data symbols is then ascertained from the replica, which is used to estimate the speed of the wireless terminal.

Claims (59)

1. A method that facilitates performing a Doppler spread estimation, the method comprising:

receiving a communication from a wireless terminal, wherein the communication includes at least two symbols;

ascertaining an energy associated with the communication, wherein the energy is based on the at least two symbols;

determining an energy variance and a noise variance; and

estimating a speed of the wireless terminal based on the energy variance normalized by the noise variance.

2. The method of claim 1 , wherein the communication is received via an uplink channel having a constant modulus.

3. The method of claim 2 , wherein the uplink channel is associated with a Physical Uplink Control Channel.

4. The method of claim 3 , wherein the uplink channel is associated with a Channel Quality Indicator.

5. The method of claim 2 , wherein the uplink channel is associated with a Physical Uplink Shared Channel.

6. The method of claim 1 , further comprising calculating a metric based on the energy variance and the noise variance, wherein the estimating includes comparing the metric to a threshold.

7. The method of claim 6 , wherein the calculating comprises calculating a short term average associated with the energy, and wherein the metric is based on the short term average.

8. The method of claim 7 , wherein the calculating comprises calculating a long term average of the short term average associated with the energy, and wherein the metric is based on the long term average.

9. The method of claim 6 , wherein the calculating comprises calculating a short term energy variance, and wherein the metric is based on the short term energy variance.

10. The method of claim 9 , wherein the calculating comprises calculating a long term average of the short term energy variance, and wherein the metric is based on the long term average.

11. The method of claim 10 , wherein the metric is directly proportional to the long term average of the short term energy variance.

12. The method of claim 6 , wherein the calculating comprises calculating a long term average of a short term noise variance associated with the energy, and wherein the metric is based on the long term average.

13. The method of claim 1 , wherein the at least two symbols comprise any combination of data symbols or pilot symbols.

14. An apparatus configured to facilitate performing a Doppler spread estimation, the apparatus comprising:

a processor configured to execute computer executable components stored in memory, the components including:

a communication component configured to receive a communication from a wireless terminal, wherein the communication includes at least two symbols;

an energy component configured to ascertain an energy associated with the communication, wherein the energy is based on the at least two symbols;

a variance component configured to determine an energy variance and a noise variance; and

a speed component configured to estimate a speed of the wireless terminal based on the energy variance normalized by the noise variance.

15. The apparatus of claim 14 , wherein the communication component is configured to receive the communication via an uplink channel having a constant modulus.

16. The apparatus of claim 15 , wherein the uplink channel is associated with a Physical Uplink Control Channel.

17. The apparatus of claim 16 , wherein the uplink channel is associated with a Channel Quality Indicator.

18. The apparatus of claim 15 , wherein the uplink channel is associated with a Physical Uplink Shared Channel.

19. The apparatus of claim 14 , wherein the speed component is configured to calculate a metric based on the energy variance and the noise variance, and wherein the speed component is further configured to estimate the speed by comparing the metric to a threshold.

20. The apparatus of claim 19 , wherein the speed component is configured to calculate a short term average associated with the energy, and wherein the metric is based on the short term average.

21. The apparatus of claim 20 , wherein the speed component is configured to calculate a long term average of the short term average associated with the energy, and wherein the metric is based on the long term average.

22. The apparatus of claim 19 , wherein the speed component is configured to calculate a short term energy variance, and wherein the metric is based on the short term energy variance.

23. The apparatus of claim 22 , wherein the speed component is configured to calculate a long term average of the short term energy variance, and wherein the metric is based on the long term average.

24. The apparatus of claim 23 , wherein the metric is directly proportional to the long term average of the short term energy variance.

25. The apparatus of claim 19 , wherein the speed component is configured to calculate a long term average of a short term noise variance associated with the energy, and wherein the metric is based on the long term average.

26. The apparatus of claim 14 , wherein the at least two symbols comprise any combination of data symbols or pilot symbols.

27. A computer program product that facilitates performing a Doppler spread estimation, comprising:

a computer-readable storage medium comprising code for causing at least one computer to:

receive a communication from a wireless terminal, wherein the communication includes at least two symbols;

ascertain an energy associated with the communication, wherein the energy is based on the at least two symbols;

determine an energy variance and a noise variance; and

estimate a speed of the wireless terminal based on the energy variance normalized by the noise variance.

28. The computer program product of claim 25 , the code further causing the at least one computer to calculate a metric based on the energy variance and the noise variance, wherein the speed is estimated by comparing the metric to a threshold.

29. The computer program product of claim 26 , the code further causing the at least one computer to calculate a short term average associated with the energy, wherein the metric is based on the short term average.

30. The computer program product of claim 27 , the code further causing the at least one computer to calculate a long term average of the short term average associated with the energy, wherein the metric is based on the long term average.

31. The computer program product of claim 26 , the code further causing the at least one computer to calculate a short term energy variance, wherein the metric is based on the short term energy variance.

32. The computer program product of claim 29 , the code further causing the at least one computer to calculate a long term average of the short term energy variance, wherein the metric is based on the long term average.

33. The computer program product of claim 30 , wherein the metric is directly proportional to the long term average of the short term energy variance.

34. The computer program product of claim 26 , the code further causing the at least one computer to calculate a long term average of a short term noise variance associated with the energy, wherein the metric is based on the long term average.

35. The computer program product of claim 27 , wherein the at least two symbols comprise any combination of data symbols or pilot symbols.

36. An apparatus configured to facilitate performing a Doppler spread estimation, the apparatus comprising:

means for receiving a communication from a wireless terminal, wherein the communication includes at least two symbols;

means for ascertaining an energy associated with the communication, wherein the energy is based on the at least two symbols;

means for determining an energy variance and a noise variance; and

means for estimating a speed of the wireless terminal based on the energy variance normalized by the noise variance.

37. The apparatus of claim 33 , wherein the means for receiving is configured to receive the communication via an uplink channel having a constant modulus.

38. The apparatus of claim 34 , wherein the uplink channel is associated with a Physical Uplink Control Channel.

39. The apparatus of claim 35 , wherein the uplink channel is associated with a Channel Quality Indicator.

40. The apparatus of claim 34 , wherein the uplink channel is associated with a Physical Uplink Shared Channel.

41. The apparatus of claim 36 , wherein the at least two symbols comprise any combination of data symbols or pilot symbols.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2010
From: WANG, RENQIU; XU, HAO
To: QUALCOMM INCORPORATED
Reel/Frame 024912/0036 →
Continuity (2)
Provisional Application 61219351 · Jun 22, 2009
Related Publication 20110142115A1 · Jun 16, 2011