Skip to main content
padlock icon - secure page this page is secure

Research on Optimal Search of Phased Array Radar Based on Radio Frequency Stealth

Buy Article:

$106.34 + tax (Refund Policy)

A new search algorithm for phased array radar which is based on radio frequency stealth is proposed in this paper. Two cases are studied. For the first case, when the indication information is available, parameters including the beam width, the dwelling time and the average power are optimized by Particle Swarm Optimization (PSO), and a minimum energy cost model is set up by using Grey Relational Grade (GRG). For the second case, when there is no indication information, a two-step search algorithm is proposed to reduce the energy cost of searching the target with a low probability to appear. Compared with other search algorithms, the simulation results show that our algorithm can consume less energy and provide better performance in term of radio frequency stealth.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: ENERGY COST; GREY RELATIONAL GRADE; PARTICLE SWARM OPTIMIZATION; RADAR SEARCH; RADIO FREQUENCY STEALTH (RFS)

Document Type: Research Article

Publication date: March 1, 2012

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more