Distributed Sensors Information Fusion Identification Based on Adaptive Weight Grey Correlation Algorithm
Baohua Liu · Journal of China Academy of Electronics and Information Technology · 2013
Aiming at the low identification rate of radar and communication emitter in complex electromagnetic circumstance,a new method of distributed sensors information fusion identification based on adaptive weight grey correlation algorithm is presented.Grey correlation method can deal with uncertainty of emitter parameters in emitter identification.The difficulty of grey correlation method is acquiring parameter weight value.The three methods of gaining weight value are described.The basic probability assignment is obtained by the adaptive weight grey correlation algorithm.Distributed sensors information fusion and evidence fusion rule are used.Multi-periods information fusion in the time domain and distribution multi-sensors fusion in the spatial domain are carried out.The result of simulation proves that adaptive weight grey correlation algorithm had higher emitter identification rate,better circumstance adaptability and identification robust.