Fundamentals of Radio Data Transmission

The drawing illustrates the various processing operations applied to digital information from source to sink. The box labeled “Channel” represents the media through which data must pass (adapted from Bernard Sklar, “Digital Communications – Fundamentals and Applications”, Prentice Hall, 2001).

A basic understanding of how digital information is transferred by land line or radio links is necessary to fully exploit all of the features of the WAVECOM decoder. It is assumed that the user is familiar with the general working of telecommunication systems, in particular radio systems. The overview below deliberately avoids the mathematical descriptions and proofs which underly modern communication theory and practice, for the sake of brevity.

We define digital information as information which is represented by discrete states of the transmission medium. In contrast, analogue information is represented by an infinite continuum of states. For example, live music is analogue information, whereas the same music recorded on a CD has been transformed into digital information imprinted on the surface of the disc. Digital information or data is not only text, it can also represent speech, music or images.

A land line, short wave link, satellite link or any other way of connecting two points for communications is called a channel.

The tremendous development within electronics and computer science in the last few decades has led to enormous improvements in the reliability and robustness of the wireless transmission of digital data, which has especially benefited the HF spectrum users. The HF frequency range is an especially hostile environment to communications, as it is prone to both natural and manmade disturbances of a time-varying nature, e.g., heavy industrial noise, fierce solar storms, interference from other spectrum users and severe fading. The ever increasing powers of CPUs has been harnessed via digital signal processing (DSP) techniques and has resulted in improved coding and modulation methods such as turbo codes, adaptive equalization, m-ary modulation and powerful and innovative demodulation and decoding methods. Further improvements have been made in the field of automation of operations and in the size, power consumption and features of modern integrated circuits.

 

 

Basic digital communication transformations (from B. Sklar, “A Structured Overview of Digital Communications”, IEEE Commun. Mag, August 1983).