A new statistical wideband spatio-temporal channel model for 5-GHz band WLAN systems

Abstract

Generalized Expectation maximization (FD-SAGE) algorithm and clusters are identified in the spatio-temporal domain by a nonparametric density estimation procedure. The description of the clustering observed within the channel relies on two classes of parameters, namely, intercluster and intracluster parameters which characterize the cluster and MPC, respectively. All parameters are described by a set of empirical probability density functions (pdfs) derived from the measured data. The correlation properties are incorporated in two joint pdfs for cluster and MPC positions, respectively. The clustering effect also gives rise to two classes of channel power density spectra (PDS)-intercluster and intracluster PDS which are shown to exhibit exponential and Laplacian functions in the delay and angular domains, respectively. Finally, the model validity is confirmed by comparison with two existing models reported in the literature.

Cramer-Rao bounds in the estimation of time of arrival in fading channels

“…The angular spread corresponds to the standard deviation of the direction of arrivals from multipath components at the receiver when a normalized version of the PAS is used as the weighting function. Some works report that Laplacian distribution can provide a good match to this angular distribution [15,53,61]; but when it is used in (27) instead of a Gaussian distribution, meaningless variations are achieved.…”

Employing Coordinated Transmit and Receive Beamforming in Clustering Double-Directional Radio Channel

“…This prerequisites a cluster identification process. In [9,13,19], wave clusters are identified in spatial-temporal domain through visual observation. In this paper, we assume that the clusters' spatial information is known at both Tx and Rx sides, and the directional beam patterns at both ends of the link can be steered towards a common wave cluster.…”