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Digital Signal Processor Based Carrier & Timing Synchronisation in Digital Modems

Course Description

Digital Signal Processing has become the standard method of signal conditioning and signal processing in modulators and demodulators of modern communication systems. These systems require acquisition and tracking of a carrier and of a timing clock from the received signal when neither carrier nor clock are present. The synchronization information must be extracted from implicit side information embedded in the modulated signal or from explicit side information accompanying the modulated signal in pilot signals. Synchronization techniques abound with ad-hoc methods developed by clever analog designers. Many sub-optimal synchronization techniques evolved prior to the development of optimal synchronization techniques. Many techniques were developed prior to the heavy reliance on DSP in receivers. As the transition to DSP occurred, analog based synchronization schemes often survived the transformation and are employed directly as analog techniques or as digitized versions. An important lesson to be learned in DSP based solutions is that a return to first principles may offer performance benefits. We do that in this presentation. We start with a review of receiver structures, parameters to be estimated, eye diagrams, and constellation diagrams. We then review phase lock loops and their digital counterparts as well as simple performance measures. We then examine timing recovery schemes operating with and without the benefit of data decisions. Finally we discuss carrier recovery schemes operating with and without the benefit of data decisions. The synchronization processes for a number of modern communication systems will be discussed and used to illustrate the material discussed in the presentation. MATLAB demonstrations are used throughout the presentation to illustrate many of the concepts developed in class.

Target Audience

Course Outline

First course in DSP: Course in Modulation Techniques, FIR Filters, Sampling Theorem and Spectrum Analysis Techniques

The tutorial will cover these topics with Low Math Content, lots of Insight and many MATLAB demonstrations

Receiver Structures: Parameters to be Estimated, Eye Diagrams and Visualization Aides Maximum Likelihood Phase Estimation: Phase Locked Loops and Digital Equivalents, Matched Filters,Decision and Non-Decision Directed Maximum Likelihood Timing Estimation: MLE Model and Approximations, Phase Detectors, Early-Late Gate, Decision and Non-Decision Directed Maximum Likelihood Frequency Estimation: Frequency Matched Filter, Band Edge Filtering Polyphase Filters for timing recovery and band edge filtering

Course Details

Course start Thu 1st January 2015
Course end Thu 31st December 2015
Individual price
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Please register your interest in this course by contacting Babcock on +61 (0)8 8440 9507

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