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Found 3 papers, 1 papers with code
Stochastic Maximum Likelihood Direction Finding in the Presence of Nonuniform Noise Fields
In this letter, we employ and design the expectation--conditional maximization either (ECME) algorithm, a generalisation of the EM algorithm, for solving the maximum likelihood direction finding problem of stochastic sources, which may be correlated, in unknown nonuniform noise.
EM-Type Algorithms for DOA Estimation in Unknown Nonuniform Noise
Moreover, we design two SAGE algorithms for computing the stochastic ML estimator, in which the first updates the DOA estimates simultaneously while the second updates the DOA estimates sequentially.
EM and SAGE algorithms for DOA Estimation in the Presence of Unknown Uniform Noise
After being improved, numerical results illustrate that the EM algorithm has similar convergence with the MEM algorithm and the SAGE algorithm outperforms the EM and MEM algorithms for the deterministic signal model.
