Method and apparatus for generating a metric for use in one or more of lock detection, snr estimation, and modulation classification

Abstract

The present disclosure is directed at a method and apparatus for generating a metric for use in any one or more of lock detection, SNR estimation, and modulation classification. To generate the metric, an input angle in the form of a symbol phase or a difference in symbol phases is used to evaluate a base function. The base function relates possible metrics to possible input angles using a triangle wave having its maxima or minima at ideal input angles, and the other of its maxima or minima at angles midway the ideal input angles. Described are embodiments that are one or more of non-data aided; that may be implemented relatively efficiently in hardware; that can function using one sample / symbol; that can achieve relatively good detection certainty using relatively few estimates; and that can be used to implement modulation classifiers, lock detectors, and SNR estimators that are resilient to imperfections in automatic gain control.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is entitled to the benefit of and incorporates by reference essential subject matter disclosed in International Patent Application No. PCT / CA2011 / 001220 filed on Nov. 1, 2011 and U.S. Patent Application No. 61 / 409,544 filed Nov. 3, 2010.TECHNICAL FIELD[0002]The present disclosure is directed at a method and apparatus for use in one or more of lock detection, signal-to-noise ratio (SNR) estimation, and modulation classification.BACKGROUND[0003]Digital communications systems often include one or more of a lock detector, a modulation classifier, and an SNR estimator. A lock detector is used, for example, when a receiver is coherently demodulating a carrier that it has received to determine whether a local carrier used for demodulation is in phase with the received carrier. A modulation classifier is used, for example, to determine which modulation scheme has been used to modulate the received carrier. Exemplary modulation sc...

AI Technical Summary

Problems solved by technology

Many modulation classification algorithms, while mathematically viable, are too cumbersome and resource hungry for practical use.

This is problematic on several levels: for example, often some of the data throughput is sacrificed in DA methods in order to send known symbols, such as pilot symbols, and the receiver must known when those known data symbols are present, implying some sort of required prior frame synchronization.

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