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For the mobile radio channel parameter estimation, the Space-Alternating Generalized Expectation-maximization (SAGE) algorithm is a popular scheme to estimate the individual path parameters, i.e., the relative delay, incidence azimuth, Doppler frequency, and complex amplitude of impinging waves. Because of the constraint of bandwidth of channel sounding signal and the limitation of the number of antennas,...
The SAGE algorithm gives the chance to divide the multi-dimension optimization problem, which one confronts when the maximum likelihood (ML) estimation is performed, into iterations of one-dimension optimization problems. The progress to find out the maximum of the log-likelihood function during Maximization-step (M-step) of the algorithm is yet to be refined with purpose of reducing the time cost...
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