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.<>
A maximum likelihood approach to data association
IEEE Transactions on Aerospace and Electronic Systems ; 28 , 2 ; 560-566
1992-04-01
505542 byte
Article (Journal)
Electronic Resource
English
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