To meet the requirement of tracing large quantities of targets real time, an approximate multisonsor joint probabilistic data association(JPDA) algorithm were discussed after studying the joint probabilistic data association (JPDA) methods. This method adopts the conception of approximate cluster which uses approximate cluster matrix to get the association matrix and breaks the association matrix by dividing a large association matrix into some small association matrixes of non-intersection each other. This method reduces the counts of observed and echo and the complexity and quantities of the algorithm. In addition, two kinds of algorithms, parallel and serial, of multisensor joint probabilistic association algorithms were analyzed and compared.