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A maximum likelihood approach to data association

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1 Author(s)
Avitzour, D. ; ELTA Electron. Ind., Ashdod, Israel

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

Published in:
Aerospace and Electronic Systems, IEEE Transactions on  (Volume:28 ,  Issue: 2 )

Date of Publication: Apr 1992

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