A maximum likelihood approach to data association
Daniel Avitzour · IEEE Transactions on Aerospace and Electronic Systems · 1992
An approach is presented to data association (DA) problems for which measurements are independent from scan to scan. It is demonstrated that maximum likelihood (ML) estimation of target parameters may be efficiently implemented by an EM iterative scheme. The algorithm is applied to multitarget trajectory estimation of constant-velocity targets from passive (bearing-only) sensors.>