Abstract:
The present disclosure relates to a method and related mobile device for estimating a channel by choosing a subset of correlated channel coefficients and estimating the reference signal received power of the subset of correlated channel coefficients based on a cross-correlation between channel coefficients of the subset of correlated channel coefficients.
Abstract:
The present disclosure relates to a method and related mobile device for estimating a channel by choosing a subset of correlated channel coefficients and estimating the reference signal received power of the subset of correlated channel coefficients based on a cross-correlation between channel coefficients of the subset of correlated channel coefficients.
Abstract:
Acquisition and tracking modes for a mobile device assisted multilateration based localization are disclosed. A relative time difference is determined between a positioning reference cell and at least two other detectable positioning cells. A reference signal of a positioning cell is detected to determine timing of a detectable positioning cell by either applying sliding window approach to acquire the positioning cell or a single window approach to track the positioning cell. The sliding window approach within a search window is applied to acquire the positioning cell when a coarse timing of the positioning cell has not yet been achieved. A single window approach is applied to track the positioning cell when a coarse timing of the positioning cell has been achieved or when the search window is not larger than a capture range capability of the mobile device.
Abstract:
A method of processing a plurality of received digitized signals may include determining a plurality of cross-correlation coefficients for the plurality of received digitized signals; forming a cross-correlation coefficient vector including the plurality of cross-correlation coefficients; and determining an evaluation value for at least some of the plurality of cross-correlation coefficients. The determining the evaluation value may include: pre-selecting a predefined number of cross-correlation coefficients from the cross-correlation coefficient vector and deleting the pre-selected number of cross-correlation coefficients from the cross-correlation coefficient vector; after the pre-selection, determining an averaging value using at least one of the non-preselected cross-correlation coefficients of the cross-correlation coefficient vector; and determining the evaluation values based on the respective value of the pre-selected cross-correlation coefficient and the averaging value. The method may further include selecting one or more cross-correlation coefficients based on the determined evaluation values; and further processing based on the selected one or more cross-correlation coefficients.