Detecting a data frame
First Claim
1. A detector configured for detecting presence of a data frame, the detector comprising:
- a first correlator configured to provide a first plurality of correlations corresponding to similarity between data as received and first information that denotes the data frame;
a second correlator configured to provide a second plurality of correlations corresponding to similarity between the data as received and second information that denotes the data frame, the second information including a portion of the first information; and
decision logic coupled to the first correlator and the second correlator, the decision logic configured to provide an indication that the data frame is present where the indication is based on the first plurality of correlations and the second plurality of correlations.
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Accused Products
Abstract
A detector (109) and corresponding method is configured for detecting presence of a data frame. The detector includes a first correlator (123) that is configured to provide a first plurality of correlations corresponding to similarity between data as received and first information, e.g., an ordered set of coefficients, that denotes the data frame and a second correlator (125) that is configured to provide a second plurality of correlations corresponding to similarity between the data as received and second information, e.g., another ordered set of coefficients, that denotes the data frame, where the second information includes a portion of the first information. Further included is decision logic (129) coupled to the first correlator and the second correlator, where the decision logic is configured to provide an indication (111) that the data frame is present based on the first plurality of correlations and the second plurality of correlations.
48 Citations
21 Claims
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1. A detector configured for detecting presence of a data frame, the detector comprising:
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a first correlator configured to provide a first plurality of correlations corresponding to similarity between data as received and first information that denotes the data frame;
a second correlator configured to provide a second plurality of correlations corresponding to similarity between the data as received and second information that denotes the data frame, the second information including a portion of the first information; and
decision logic coupled to the first correlator and the second correlator, the decision logic configured to provide an indication that the data frame is present where the indication is based on the first plurality of correlations and the second plurality of correlations. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of detecting presence of a data frame in data samples as received, the method comprising:
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correlating the data samples with a first ordered set of coefficients corresponding to a known symbol sequence over a plurality of symbol periods to provide a sequence of first correlations over each symbol period, the known symbol sequence associated with the data frame being present;
correlating the data samples with a second ordered set of coefficients over a portion of the plurality of symbol periods to provide a sequence of second correlations over the each symbol period, the second ordered set of coefficients including a portion of the first ordered set of coefficients;
selecting a strongest first correlation from the sequence of first correlations for each symbol period and a strongest second correlation from the sequence of second correlations for each symbol period; and
determining whether the data frame is present based on the strongest first correlation with associated first location index and the strongest second correlation with associated second location index for each symbol period. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A detector configured for detecting presence of a data frame and providing symbol synchronization, the detector comprising:
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a first correlator configured to provide a first sequence of correlations between samples of data as received and a first symbol that denotes the data frame;
a second correlator configured to provide a second sequence of correlations between the samples of data as received and a second symbol that denotes the data frame, wherein the second symbol includes a portion of the first symbol; and
a decision function, coupled to the first correlator and the second correlator, configured to provide a presence indication when the data frame is present based on the first sequence of correlations and the second sequence of correlations. - View Dependent Claims (20, 21)
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Specification