Abstract
In this chapter, we develop a set of tools to study the co-design ofjoint communication and radar systems. For the sake of discussion, given a fixed set of resources, one can determine an n-dimensional space of performance metrics such that the best performance of the system can be described by a manifold in this metric space. By changing the parameters the overall system employs, one can therefore move along this surface to different operating points as indicated in Figure 19.1. Thus, an intelligent system can dynamically modify the parameters of a network of joint radar and communication nodes in response to multiple goals that, along with the environment, can likewise be dynamic. Further, in highly dynamic scenarios, distributed (as opposed to centralized) optimization may be required. In fact, dynamic joint radar and communication systems may actually provide a more appropriate example for use of the adjective “cognitive” than other systems that often employ this monicker.
Original language | English (US) |
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Title of host publication | Radar and Communication Spectrum Sharing |
Publisher | Institution of Engineering and Technology |
Pages | 637-660 |
Number of pages | 24 |
ISBN (Electronic) | 9781785613579 |
DOIs | |
State | Published - Jan 1 2018 |
Keywords
- Communication nodes
- Dynamic joint radar
- Electromagnetic compatibility and interference
- Joint communication
- Multiple goals
- N-dimensional space
- Overall system employs
- Performance metrics
- Radar
- Radar co-design
- Radar equipment, systems and applications
- Radar receivers
- Radar systems
- Radio links and equipment
- Radio spectrum management
- Radiofrequency interference
ASJC Scopus subject areas
- General Engineering