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Solution of attribute association degree and threshold based on NP rule

JING Peiliang1， XU Shiyou1， LI Xian2， CHEN Zengping1   

  1. (1. Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China; 2. School of Information Science and Engineering, Central South University, Changsha 410083, China)
  • Online:2014-03-24 Published:2010-01-03

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Abstract:

In the closely spaced targets environments, attribute aided kinematic state data association has currently been universally recognized as the potential method to improve data association performance. First the rationality of classical association degree and corresponding threshold about kinematic state information in the NeymanPearson (NP) sense are analyzed. Then, a new method is presented, which allows an NP test for the solution of association degree and threshold about attribute information. Simulation results indicate that the proposed method could have stable association performance compared with the usual method using constant threshold.

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