Research on implementation of elementary symmetric function in GM-CPHD filter

This paper provides two methods about implementation of elementary symmetric function (ESF) in Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter. One is based on the matrix inversion; the other is implementing the ESF recursively. Simulation results reveal that the recursive implementation of ESF weights over the matrix inversion based method.