A literature survey of radar resource management algorithms

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Authors
  1. Ding, Z.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
Abstract
DRDC Ottawa has launched an applied research project (ARP) called “Advanced Concepts for Naval Multi-function Radar (MFR)”. Two major science and technology topics are identified for this project. The first major topic is the radar detection and tracking of small targets in littoral environments. The second major topic is the investigation of the adaptive radar resource management (RRM) problem. This report presents a survey of the second topic based on existing open literature. The surveyed algorithms are grouped into five categories: artificial intelligence algorithms, dynamic programming algorithms, quality of service (QoS) resource allocation management (Q-RAM) algorithms, waveform-aided algorithms and adaptive update rate algorithms. The first three categories are adaptive radar scheduling algorithms and the remaining two categories are resource-aided algorithms. The US Navy’s phased array radar benchmark problems and solutions are also reviewed. Comments are provided for each category of the RRM algorithms, which lead to recommendations for future study.

Il y a un résumé en français ici.

Report Number
DRDC-OTTAWA-TM-2008-334 — Technical Memorandum
Date of publication
01 Mar 2009
Number of Pages
60
DSTKIM No
CA032200
CANDIS No
531338
Format(s):
CD ROM

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