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Performance Analysis of an MIMO Channel Estimator based on Superimposed Training and FirstOrder
Filtering Robust and Adaptive Methods for Track Reconstruction
95 other sections not shown
adaptive beamforming adaptive filter algorithm amplitude analysis applications approach approximation array assumed Bayesian beamformer blind equalization bound channel estimation coefficients complex components computational consider constraint convergence covariance matrix criterion defined denotes density derived detection detector distribution eigenvalues equal equation Figure filtered-x frequency function Gaussian noise given GNGD gradient IEEE IEEE Trans IEEE/SP 13th Workshop importance sampling input iteration Kalman filter likelihood linear LMS algorithm Markov chain mean square mean square error measure method neural networks nonlinear observation obtained OFDM optimal orthogonal output paper particle filter performance phase probability problem Proc proposed random ratio recursive robust samples sensors sequence shows Signal Processing SSP simulation results spectral square error Statistical Signal Processing subspace target techniques Theorem threshold tion tracking transform update variable variance vector weight vector Workshop on Statistical zero mean