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EM-based recursive estimation of channel parameters
1999
IEEE Transactions on Communications
Recursive (online) expectation-maximization (EM) algorithm along with stochastic approximation is employed in this paper to estimate unknown time-invariant/variant parameters. The impulse response of a linear system (channel) is modeled as an unknown deterministic vector/process and as a Gaussian vector/process with unknown stochastic characteristics. Using these models which are embedded in white or colored Gaussian noise, different types of recursive least squares (RLS), Kalman filtering and
doi:10.1109/26.789663
fatcat:56nbmi624ncw3iboijz4nvgvd4