Abstract
Radar systems architectures that employ multiple, widely distributed, antennas have been shown to offer significant advantages when it comes to target localization. With appropriate placement of antennas, an improvement in location estimation capabilities proportional to the product of the number of transmit antennas and receive antennas may be achieved. In addition, the effective signal bandwidth and the signal-to-noise ratio play a role in how well one can use these architectures to reduce target location estimation mean-square error. While using all available resources will optimize localization performance, in reality, estimation accuracy needs might be obtained with a more moderate use of resources. Applying appropriate power management algorithms can address mission requirements while increasing overall system efficiency and prolonging system availability. In this chapter, two power optimization schemes are detailed, enabling system operators to conserve resources while achieving system objectives.
| Original language | American English |
|---|---|
| Title of host publication | Information-Theoretic Radar Signal Processing |
| Publisher | wiley |
| Pages | 313-346 |
| Number of pages | 34 |
| ISBN (Electronic) | 9781394216956 |
| ISBN (Print) | 9781394216925 |
| DOIs | |
| State | Published - Jan 1 2024 |
ASJC Scopus subject areas
- General Engineering
- General Computer Science
Keywords
- Cramér-Rao lower bound (CRLB)
- multiple-input multiple-output (MIMO) radar
- optimization
- resource allocation
- target localization