Course

Non-Idealities in Analog Signal Processing and A/D Interface

Short description

In earlier parts of these materials, we have been studying the communications signal processing techniques without taking into account the limitations and non-idealities due to practical implementation with analog circuitry or digital signal processing hardware. On the analog receiver front-end side, the limitations are due to various noise effects and nonlinearity of the practical circuits, as well difficulties to implement multiple circuits with matching transfer characteristics. On the DSP side, the non-idealities are due to finite wordlength presentation of the filter coefficients and signal sample values, usually in fixed-point notation. Furthermore, in the analog-to-digital interface, the quantization accuracy is limited by the analog-to-digital converter (ADC) resolution and there exist radom variations of the actual sampling instance arround to ideal sampling instances, referred to as sampling (aperture) jitter.

In this course, the essential non-idealties affecting in the receiver system design are charcterized and their effects are high-lighted through demonstrations.

 Lessons

  1. Noise Effects
  2. Nonlinearities and Intermodulation Distortion
  3. Local Oscillator Stability and Phase Noise Effects
  4. Leakage, Spurious Responses, DC Offsets
  5. I/Q Imbalance
  6. Signal Quantization Effects
  7. Sampling Jitter

     Target Group

    Under-graduate and graduate level (M.Sc.) students of communications engineering, communications engineers and system designers (industry).

     Course Aims

    The target is to make course participants familiar with the essential non-idealties affecting in the analog and digital signal processing in communications receivers, as well as receiver system calculation principles.

     Prerequisites

    Basics of linear signal and system analysis (Fourier transforms, spectral concepts, linear filters, system responses), basics of sampling theory, basics of communication theory (significance of modulation), basics of complex and bandpass signals and systems including sampling and multirate processing.

     System Requirements

    The whole course material is accessible through the Internet, and is designed to be viewed and browsed using Microsoft Internet Explorer (ver. 5.5 or newer).

     Authors

    Peng Yan, Eero Mäki-Esko, Mikko Valkama, and Markku Renfors
        mikko.e.valkama@tut.fi, markku.renfors@tut.fi
       Tampere University of Technology, Tampere, Finland