Symbol decoder, threshold estimation and correlation systems and methods

• US 8,842,026 B2
• Filed: 12/05/2012
• Issued: 09/23/2014
• Est. Priority Date: 12/05/2012
• Status: Expired due to Fees

• Current Assignee: Infineon Technologies AG
• Original Assignee: Infineon Technologies AG
• Inventors: Levy, David
• Primary Examiner(s): NGUYEN, LINH V
• Application Number:
  US13/705,907
• Publication Number:
  US 20140152485A1
• Time in Patent Office: 657 Days
• Field of Search: 341/118, 341/120, 341/155
• US Class Current: 341/118
• CPC Class Codes: H03M 1/1057 by trimming, i.e. by individually adjusting at least part of the quantisation value generators or stages to their nominal values
• CPC Class Codes: H03M 1/182 the feedback signal controlling the reference levels of the analogue/digital converter
• CPC Class Codes: H03M 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A threshold estimate system includes a level quantizer, a correlation mechanism, and a threshold adaptation component. The level quantizer is configured to receive an input signal and to generate a quantization signal from the input signal according to one or more threshold levels. The correlation mechanism is configured to correlate the quantization signal with reference symbols to generate an output signal. The threshold adaptation component is configured to modify the one or more threshold levels according to the output signal and the input signal.

Claims

1. A threshold estimation system comprising:

a level quantizer configured to receive an input signal and generate a quantization signal according to one or more threshold levels;

a correlation mechanism configured to recognize symbols from the quantization signal and generate a data stream based thereon, to compare the recognized symbols with reference symbols and generate a correlation score based thereon, and to generate an output signal having the data stream and the correlation score; and

a threshold adaptation component configured to modify the one or more threshold levels according to the output signal and the input signal.

2. The system of claim 1, wherein the one or more threshold levels includes at least 2 threshold levels.

3. The system of claim 1, wherein the input signal is a differential signal using current modulation at a first modulated current level and a second modulated current level.

4. The system of claim 3, wherein the second modulated current level is twice the first modulated current level.

5. The system of claim 1, further comprising a quiescent current removal component configured to remove a quiescent current from the input signal prior to being received by the level quantizer.

6. The system of claim 1, wherein the input signal includes amounts of information as chips.

7. The system of claim 6, wherein the chips have a specified chip duration.

8. The system of claim 6, wherein a portion of the chips correspond to a symbol.

9. The system of claim 1, wherein the threshold adaptation component is configured to obtain an average measured current and determine an expected average current for a symbol from the output signal.

10. The system of claim 9, wherein the threshold adaptation component is configured to obtain an error estimate according to the average measured current and the expected average current and to modify the one or more threshold levels according to the error estimate.

11. The system of claim 1, wherein the correlation mechanism is configured to generate a correlation score from quantization samples of the quantization signal and to decode symbols according to the correlation score.

12. The system of claim 1, wherein the correlation mechanism is configured to utilize reference values and boundary crossings to generate the correlation score.

13. A method for updated threshold levels used for quantization, the method comprising:

detecting and recognizing a symbol by a correlation mechanism;

obtaining a plurality of current samples for the recognized symbol;

obtaining current threshold values for the recognized symbol;

generating an average measured current for the recognized symbol according to the obtained plurality of current samples;

generating an expected average current for the recognized symbol according to the current threshold values; and

obtaining an error estimate for the recognized symbol according to the average measured current and the expected average current.

14. The method of claim 13, further comprising generating updated threshold values for the recognized symbol according to the error estimate.

15. The method of claim 13, wherein the current threshold values are initial values.

16. The method of claim 13, wherein obtaining samples of a modulated current signal to generate the average measured current.

17. The method of claim 13, further comprising scaling the error estimate by a factor to mitigate overcorrection.

18. A method of recognizing symbols in a quantization signal, the method comprising:

obtaining a set of samples beginning with a last sample;

identifying transition samples from the obtained set of samples that are adjacent to boundary crossings;

generating a correlation score for the set of samples, wherein the identified transition samples are set to a score of zero; and

comparing the correlation score with at least one previous correlation score to identify a peak correlation score.

19. The method of claim 18, further comprising selecting a symbol on identifying the peak correlation score by correlating the peak correlation score with reference values.

20. The method of claim 18, further comprising obtaining another set of samples beginning with a next sample.

21. The method of claim 18, wherein obtaining the set of samples includes obtaining threes samples per chip from a quantization signal.