Gray relativity analysis used to track association in passive sonar system

Abstract

Data association of multisensor multitarget is a very difficult problem in passive system. For the “combination explosion” problem of static data association, many researchers have presented many solutions such as the least distance method and the maximum likelihood method. But some of these methods have a low correct association rate or a high computation burden. A novel association method on the gray theory is presented based on continuous transcendent knowledge of moving target in time domain. This algorithm can weigh the degree of relative correlation by the developing situation between the factors in the data sequence, which breaks through the limitations of the sample quantities and the typical distributing rule. The results of simulation indicate that this algorithm can compute faster and has a higher correct association rate. It has higher application value of engineering.