Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1049-1051 |
| Number of pages | 3 |
| Journal | Electronics Letters |
| Volume | 54 |
| Issue number | 17 |
| DOIs | |
| State | Published - Aug 23 2018 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Information elasticity in radar systems. / Narayanan, R. M.; Liu, A. Z.; Singerman, P. G.; Rangaswamy, M.
In: Electronics Letters, Vol. 54, No. 17, 23.08.2018, p. 1049-1051.Research output: Contribution to journal › Article
TY - JOUR
T1 - Information elasticity in radar systems
AU - Narayanan, R. M.
AU - Liu, A. Z.
AU - Singerman, P. G.
AU - Rangaswamy, M.
PY - 2018/8/23
Y1 - 2018/8/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85051461032&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051461032&partnerID=8YFLogxK
U2 - 10.1049/el.2018.0295
DO - 10.1049/el.2018.0295
M3 - Article
AN - SCOPUS:85051461032
VL - 54
SP - 1049
EP - 1051
JO - Electronics Letters
JF - Electronics Letters
SN - 0013-5194
IS - 17
ER -