Signal characteristic-based leading edge detection

• US 8,812,063 B2
• Filed: 09/24/2010
• Issued: 08/19/2014
• Est. Priority Date: 05/26/2010
• Status: Expired due to Fees

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Budianu, Petru Cristian, Julian, David Jonathan, Ekbal, Amal
• Primary Examiner(s): Safaipour, Bobbak
• Application Number:
  US12/890,076
• Publication Number:
  US 20110294450A1
• Time in Patent Office: 1,425 Days
• Field of Search: 455/226.1, 455/39, 455/575.2, 375/360, 375/353, 375/354, 375/342, 375/345
• US Class Current: 455/575.2
• CPC Class Codes: H03K 5/082 with an adaptive threshold
• CPC Class Codes: H03K 5/1534 Transition or edge detectors
• CPC Class Codes: H04B 1/71637 Receiver aspects H04B1/7183 takes precedence

Abstract

In a signal-based gain control scheme, one or more gain levels used for processing signals are selected based on characteristics of previously received signals. For example, different gain levels may be used to receive sets of signals whereupon certain characteristics of the received sets of signals are determined. One or more gain levels are then selected based on these characteristics whereby another signal is processed based on the selected gain level(s). In some aspects, the signal-based gain control scheme may be employed to facilitate two-way ranging operations between two devices. For example, leading edge detection may involve determining a characteristic of a received signal, determining a threshold based on the characteristic, and identifying a leading edge associated with the received signal based on the threshold. In some aspects, the signal-based gain control scheme may be employed in an ultra-low power pulse-based communication system (e.g., in ultra-wideband communication devices).

Claims

1. A method of leading edge detection, comprising:

receiving a signal;

determining at least one characteristic of the received signal;

determining a plurality of distinct thresholds based on the at least one characteristic;

receiving a subsequent signal;

sampling the subsequent signal based on the plurality of distinct thresholds to generate a plurality of sampled signals, respectively;

combining the sampled signals to generate a signal reconstruction of the subsequent signal;

identifying a leading edge of the subsequent signal based on the signal reconstruction.

2. The method of claim 1, wherein the at least one characteristic is indicative of a peak amplitude associated with the received signal.

3. The method of claim 1, wherein:

the determination of the at least one characteristic comprises identifying a signal mode associated with the received signal; and

the determination of the thresholds is based on the identified signal mode.

4. The method of claim 3, wherein the signal mode is indicative of a signal-to-noise ratio associated with the received signal.

5. The method of claim 3, wherein:

the reception of the signal comprises receiving sets of pulses using different gain levels; and

the identification of the signal mode comprises;

determining gain level metrics that indicate how the use of the different gain levels affects the reception of the sets of pulses,

using the gain level metrics to determine a minimum gain level that provides adequate received signal detection, and

selecting the signal mode based on the minimum gain level.

6. The method of claim 3, wherein the identification of the leading edge comprises:

determining a timing estimate of the leading edge; and

performing bias correction based on the signal mode to adjust the timing estimate.

7. The method of claim 1,

wherein identifying the leading edge comprises identifying a signal lobe associated with a first local maximum of the signal reconstruction, and

wherein the identification of the leading edge comprises identifying timing of the signal lobe.

8. The method of claim 7, wherein:

the identification of the leading edge further comprises performing zero insertion on the signal reconstruction to generate a higher resolution signal lobe; and

the identification of the timing comprises determining timing of the higher resolution signal lobe.

9. The method of claim 1, wherein sampling the subsequent signal comprises using one-bit quantization to sample the subsequent signal.

10. The method of claim 1, wherein:

the determination of the at least one characteristic is performed by a hardware module;

the hardware module sends an indication of the at least one characteristic to a software module; and

the identification of the leading edge is performed by the software module.

11. The method of claim 1, wherein:

the identification of the leading edge comprises estimating a time of arrival of the leading edge; and

the method further comprises determining a distance between an apparatus that receives the signal and another apparatus based on the estimated time of arrival.

12. An apparatus for leading edge detection, comprising:

a receiver configured to receive a signal and a subsequent signal;

a characteristic determiner configured to determine at least one characteristic of the received signal;

a threshold determiner configured to determine a plurality of distinct thresholds based on the at least one characteristic;

a signal reconstructor configured to sample the subsequent signal based on the plurality of distinct thresholds to generate respective sampled signals, and to combine the sampled signals to generate a signal reconstruction of the subsequent signal;

a leading edge identifier configured to identify a leading edge of the subsequent signal based on the signal reconstruction.

13. The apparatus of claim 12, wherein the at least one characteristic is indicative of a peak amplitude associated with the received signal.

14. The apparatus of claim 12, wherein:

the determination of the at least one characteristic comprises identifying a signal mode associated with the received signal; and

the determination of the thresholds is based on the identified signal mode.

15. The apparatus of claim 14, wherein the signal mode is indicative of a signal-to-noise ratio associated with the received signal.

16. The apparatus of claim 14, wherein:

the reception of the signal comprises receiving sets of pulses using different gain levels; and

the identification of the signal mode comprises;

determining gain level metrics that indicate how the use of the different gain levels affects the reception of the sets of pulses,

using the gain level metrics to determine a minimum gain level that provides adequate received signal detection, and

selecting the signal mode based on the minimum gain level.

17. The apparatus of claim 14, wherein the identification of the leading edge comprises:

determining a timing estimate of the leading edge; and

performing bias correction based on the signal mode to adjust the timing estimate.

18. The apparatus of claim 12, wherein:

the leading edge identifier is further configured to identify a signal lobe associated with a first local maximum of the signal reconstruction; and

the identification of the leading edge comprises identifying timing of the signal lobe.

19. The apparatus of claim 18, wherein:

the identification of the leading edge further comprises performing zero insertion on the signal reconstruction to generate a higher resolution signal lobe; and

the identification of the timing comprises determining a timing of the higher resolution signal lobe.

20. The apparatus of claim 12, wherein the signal reconstructor comprises a one-bit quantization to sample the subsequent signal.

21. The apparatus of claim 12, wherein:

the determination of the at least one characteristic is performed by a hardware module;

the hardware module sends an indication of the at least one characteristic to a software module; and

the identification of the leading edge is performed by the software module.

22. The apparatus of claim 12, wherein:

the identification of the leading edge comprises estimating a time of arrival of the leading edge; and

the apparatus further comprises a distance determiner configured to determine a distance between the apparatus and another apparatus based on the estimated time of arrival.

23. An apparatus for leading edge detection, comprising:

means for receiving a signal and a subsequent signal;

means for determining at least one characteristic of the received signal;

means for determining a plurality of distinct thresholds based on the at least one characteristic;

means for generating a signal reconstruction of the subsequent signal, wherein the signal reconstruction means is configured to sample the subsequent signal based on the plurality of distinct thresholds to generate a plurality of sampled signals, and combine the sampled signals to generate the signal reconstruction; and

means for identifying a leading edge of the subsequent signal based on the signal reconstruction.

24. The apparatus of claim 23, wherein the at least one characteristic is indicative of a peak amplitude associated with the received signal.

25. The apparatus of claim 23, wherein:

the determination of the at least one characteristic comprises identifying a signal mode associated with the received signal; and

the determination of the thresholds is based on the identified signal mode.

26. The apparatus of claim 25, wherein the signal mode is indicative of a signal-to-noise ratio associated with the received signal.

27. The apparatus of claim 25, wherein:

the reception of the signal comprises receiving sets of pulses using different gain levels; and

the identification of the signal mode comprises;

determining gain level metrics that indicate how the use of the different gain levels affects the reception of the sets of pulses,

using the gain level metrics to determine a minimum gain level that provides adequate received signal detection, and

selecting the signal mode based on the minimum gain level.

28. The apparatus of claim 25, wherein the identification of the leading edge comprises:

determining a timing estimate of the leading edge; and

performing bias correction based on the signal mode to adjust the timing estimate.

29. The apparatus of claim 23, further comprising:

means for identifying a signal lobe associated with a first local maximum of the signal reconstruction,

wherein the identification of the leading edge comprises identifying timing of the signal lobe.

30. The apparatus of claim 29, wherein:

the identification of the leading edge further comprises performing zero insertion on the signal reconstruction to generate higher resolution signal lobe; and

the identification of the timing comprises determining timing of the higher resolution signal lobe.

31. The apparatus of claim 23, wherein the signal reconstruction means comprises means for performing a one-bit quantization to sample the subsequent signal.

32. The apparatus of claim 23, wherein:

the determination of the at least one characteristic is performed by a hardware module;

the hardware module sends an indication of the at least one characteristic to a software module; and

the identification of the leading edge is performed by the software module.

33. The apparatus of claim 23, wherein:

the identification of the leading edge comprises estimating a time of arrival of the leading edge; and

the apparatus further comprises means for determining a distance between the apparatus and another apparatus based on the estimated time of arrival.

34. A computer-program product for leading edge detection, comprising:

computer-readable storage device comprising codes executable to;

receive a signal;

determine at least one characteristic of the received signal;

determine a plurality of distinct thresholds based on the at least one characteristic;

receive a subsequent signal;

sample the subsequent signal based on the plurality of distinct thresholds to generate a plurality of sampled signals, respectively;

combine the sampled signals to generate a signal reconstruction of the subsequent signal; and

identify a leading edge of the subsequent signal based on the signal reconstruction.

35. A headset, comprising:

a receiver configured to receive a signal and a subsequent signal;

a characteristic determiner configured to determine at least one characteristic of the received signal;

a threshold determiner configured to determine a plurality of distinct thresholds based on the at least one characteristic;

a signal reconstructor configured to sample the subsequent signal based on the plurality of distinct thresholds to generate respective sampled signals, and to combine the sampled signals to generate a signal reconstruction of the subsequent signal;

a leading edge identifier configured to identify a leading edge of the subsequent signal based on the signal reconstruction; and

a transducer configured to provide an audio output as a result of the identification of the leading edge.

36. A watch, comprising:

a receiver configured to receive a signal and a subsequent signal;

a characteristic determiner configured to determine at least one characteristic of the received signal;

a threshold determiner configured to determine a plurality of distinct thresholds based on the at least one characteristic;

a signal reconstructor configured to sample the subsequent signal based on the plurality of distinct thresholds to generate respective sampled signals, and to combine the sampled signals to generate a signal reconstruction of the subsequent signal;

a leading edge identifier configured to identify a leading edge of the subsequent signal based on the signal reconstruction; and

a user interface configured to provide an indication as a result of the identification of the leading edge.

37. A sensing device, comprising:

a receiver configured to receive a signal and a subsequent signal;

a characteristic determiner configured to determine at least one characteristic of the received signal;

a threshold determiner configured to determine a plurality of distinct thresholds based on the at least one characteristic;

a signal reconstructor configured to sample the subsequent signal based on the plurality of distinct thresholds to generate respective sampled signals, and to combine the sampled signals to generate a signal reconstruction of the subsequent signal;

a leading edge identifier configured to identify a leading edge of the subsequent signal based on the signal reconstruction; and

a sensor configured to provide data for transmission as a result of the identification of the leading edge.