Evaluation of anti-stealth ability of radar on improved grey correlation algorithm
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(1. Air and Missile Defense College, Air Force Engineering University, 710051 Xi′an, China; 2. Air Force Air Missile Troops in Nanjing, 210000 Nanjing, China)

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TN957

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    Abstract:

    Aiming at the characteristics of imperfection and various of stealth target acquired by radar in complex electromagnetic circumstance, a new method based on improved grey correlation and distance optimization evaluation model was presented. Firstly, the shortcoming of common subjective grey correlation algorithm was overcome by the method. According to the subjective and objective, associated attributes of indicators, the weight of grey correlation algorithm was calculated in real time. Secondly, a set of indexes to evaluate the ability of radar based on performance and operational effectiveness was established. The anti-stealth radar evaluation distance and results were given combined with the stability and effectiveness of the sample. The analysis of theory and results of simulation proved that, in contrast to the common subjective grey correlation algorithm, the composite weights grey correlation algorithm had higher ability of assessment and stronger computation reliability.

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History
  • Received:April 01,2014
  • Revised:
  • Adopted:
  • Online: March 26,2015
  • Published:
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