Lessons in digital estimation theory
Lessons in digital estimation theory
Kalman filtering: theory and practice
Kalman filtering: theory and practice
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Matrix computations (3rd ed.)
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Fundamentals of wireless communication
Fundamentals of wireless communication
Channel parameter estimation in mobile radio environments using the SAGE algorithm
IEEE Journal on Selected Areas in Communications
Sequential unfolding SVD for tensors with applications in array signal processing
IEEE Transactions on Signal Processing
Linear optimal FIR estimation of discrete time-invariant state-space models
IEEE Transactions on Signal Processing
Unified array manifold decomposition based on spherical harmonics and 2-D Fourier basis
IEEE Transactions on Signal Processing
Spatial dynamics of indoor radio wideband channels
EURASIP Journal on Wireless Communications and Networking
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This paper describes a novel approach for detection, estimation and tracking of multiple-input multiple-output (MIMO) radio propagation parameters from multidimensional channel sounding measurements. A realistic state-space model is developed for the purpose, and the extended Kalman filter (EKF) is applied in a particular computationally efficient form to track the geometrical double-directional propagation path parameters. The observation model utilizes the dense multipath component (DMC), describing the distributed scattering in the channel, as part of the underlying noise process. The DMC model assumes an exponential profile in delay, and allows for an arbitrary angular distribution. In addition, a novel dynamic state dimension estimator using statistical goodness-of-fit tests is introduced. The employed methods are supported by illustrative estimation examples from MIMO channel sounding measurements.