A Comparative Study on different AI Techniques towards Performance Evaluation in RRM(Radar Resource Management)

The multifunction radar (MFR) has to make a decision as to which functions are to be performed first or which must be degraded or even not done at all when there are not enough resources to be allocated. The process of making these decisions and determining their allocation as a function of time is known as Radar Resource Management (RRM). The RRM has two basic issues: task prioritization and task scheduling. The task prioritization is an important factor in the task scheduler. The other factor is the required scheduling time, which is decided by the environment, the target scenario and the performance requirements of radar functions. The required scheduling time could be improved by using advanced algorithm [1, 6].

@article{S2012,
  title     = {A Comparative Study on different AI Techniques towards Performance Evaluation in RRM(Radar Resource Management)},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {1},
  number    = {5},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Madhusudhan H S and Khalid Nazim S.A},
  doi       = {10.14569/IJARAI.2012.010503},
  url       = {https://doi.org/10.14569/IJARAI.2012.010503}
}