A Comparative Study on different AI Techniques towards Performance Evaluation in RRM(Radar Resource Management)
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2012, Vol 1, Issue 5
Abstract
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].
Authors and Affiliations
Madhusudhan S, Khalid S. A
Keywords
Related Articles
- EP ID EP130143
- DOI -
- Views 107
- Downloads 0
Compressed Sensing Based Encryption Approach for Tax Forms Data
In this work we investigate the possibility to use the measurement matrices from compressed sensing as secret key to encrypt / decrypt signals. Practical results and a comparison between BP (basis pursuit) and OMP...
Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects
Method for 3D rendering based on intersection image display which allows representation of internal structure is proposed. The proposed method is essentially different from the conventional volume rendering based o...
Geography Markup Language: GML Based Representation of Time Serie of Assimilation Data and Its Application to Animation Content Creation and Representations
Method for Geography Markup Language: GML based representation of time series of assimilation data and its application to animation content creation and representations is proposed. It is validated the proposed met...
Hand Gesture recognition and classification by Discriminant and Principal Component Analysis using Machine Learning techniques
This paper deals with the recognition of different hand gestures through machine learning approaches and principal component analysis. A Bio-Medical signal amplifier is built after doing a software simulation with the he...
A Sparse Representation Method with Maximum Probability of Partial Ranking for Face Recognition
Face recognition is a popular topic in computer vision applications. Compressive sensing is a novel sampling technique for finding sparse solutions to underdetermined linear systems. Recently, a sparse representat...