Information elasticity in radar systems
It is generally assumed that better and more effective decisions can be made in radar sensor processing if more ‘information’ is available. However, this is not always the case since more information may not necessarily translate to better sensor performance due to information overload. The concept of information elasticity is useful in determining the relationship and role of information, in both qualitative and quantitative terms, to its interactions with the surroundings. While Shannon's well-known theory describes information in quantitative terms by assigning information value based on event probabilities, there are several instances where information obtained can only be described in fuzzy and qualitative terms. In this letter, the application of information elasticity to radar system performance is introduced.
