Abstract:
Techniques are disclosed relating to detection of wireless signals. In some embodiments, a method includes generating an autocorrelation result for a training field in a received wireless message, generating differentiation information based on the autocorrelation result, and determining that one or more signal recognition criteria are met. In some embodiments, the signal recognition criteria include a first criterion that a first peak in the differentiation information satisfies a first threshold for at least a first time interval. In some embodiments, the signal recognition criteria include one or more additional criteria, including a second criterion that a second peak in the differentiation information satisfies a second threshold for at least a second time interval, wherein the first and second peaks have different polarities and/or a third criterion that the first peak corresponds to an autocorrelation result value that is below a particular autocorrelation threshold.
Abstract:
Techniques are disclosed relating to detection of wireless signals. In some embodiments, a method includes generating an autocorrelation result for a training field in a received wireless message, generating differentiation information based on the autocorrelation result, and determining that one or more signal recognition criteria are met. In some embodiments, the signal recognition criteria include a first criterion that a first peak in the differentiation information satisfies a first threshold for at least a first time interval. In some embodiments, the signal recognition criteria include one or more additional criteria, including a second criterion that a second peak in the differentiation information satisfies a second threshold for at least a second time interval, wherein the first and second peaks have different polarities and/or a third criterion that the first peak corresponds to an autocorrelation result value that is below a particular autocorrelation threshold.