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.

Chapter Contents:

• 19.1 Introduction
• 19.2 Background
• 19.2.1 Coexistence
• 19.2.2 Co-design of joint radar–communications
• 19.3 Performance metrics
• 19.3.1 Communication metrics
• 19.3.2 Radar estimation information rate
• 19.3.3 Detection performance
• 19.3.4 Practical limitations
• 19.4 Topologies
• 19.4.1 Multiaccess sensing and communications
• 19.4.2 Multiaccess receiver and relay
• 19.5 Operating-point optimization
• 19.6 Conclusions
• 19.7 Looking ahead
• Acknowledgments
• References

Inspec keywords: radar; radiofrequency interference; radar receivers; radio spectrum management

Other keywords: joint communication; radar systems; dynamic joint radar; overall system employs; multiple goals; performance metrics; n-dimensional space; communication nodes; radar co-design

Subjects: Electromagnetic compatibility and interference; Radio links and equipment; Radar equipment, systems and applications