摘要:
A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are location-dependent traits of electromagnetic signals. In environments where multiple antennas are radiating the same signal, as in the case of distributed antennas or host-repeater configurations, one or more possible locations of the wireless terminal can be designated as improbable based on i) a measure of the propagation delay of a signal traveling between a) a base station and b) the wireless terminal or an infrastructure antenna, or ii) the maximum distance at which a signal is detectable by the wireless terminal. Additionally, the applicable set of values for the location-dependent traits is selected based on similar criteria.
摘要:
A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are location-dependent traits of electromagnetic signals. In environments where multiple antennas are radiating the same signal, as in the case of distributed antennas or host-repeater configurations, one or more possible locations of the wireless terminal can be designated as improbable based on i) a measure of the propagation delay of a signal traveling between a) a base station and b) the wireless terminal or an infrastructure antenna, or ii) the maximum distance at which a signal is detectable by the wireless terminal. Additionally, the applicable set of values for the location-dependent traits is selected based on similar criteria.
摘要:
A method and apparatus for estimating whether or not a wireless terminal is indoors are disclosed. The illustrative embodiment employs a pattern classifier that is trained on a plurality of input/output mappings, where each mapping corresponds to a respective location, the output of the mapping is a Boolean value that indicates whether the location is indoors, and the input of the mapping is based on empirical and predicted signal data for the location. In accordance with the illustrative embodiment, a computer-executable program is generated based on the trained pattern classifier. The computer-executable program estimates whether or not a wireless terminal is indoors based on empirical data reported by the terminal, and on a location estimate for the terminal that might be crude or inaccurate (e.g., based on Cell Identifier [Cell-ID], GPS, etc.).
摘要:
It is an object of the present invention to obtain a positioning result corresponding to the state of a receiver in less time. A positioning server 10 comprises a reception state information acquisition component 12 that acquires reception state information indicating the reception state of a radio wave at a cellular terminal 20, a base station positioning calculator 13 that estimates the approximate position of the cellular terminal 20 on the basis of reception state information and computes the precision of the approximate position, an end decision component 14 that decides whether or not to end the estimation of position on the basis of the precision of the approximate position, and, if it is decided to end the estimation, estimates the position of the cellular terminal 20 as the approximate position and ends the estimation of the position, an indoor/outdoor determination component 15 that determines whether the cellular terminal 20 is indoors or outdoors on the basis of the reception state information, and a positioning controller 16 that controls the execution of the GPS positioning of the cellular terminal 20 on the basis of the result of decision by the end decision component 14 and the result of determination by the indoor/outdoor determination component 15.
摘要:
It is an object of the present invention to perform positioning at the proper positioning time and positioning precision in response to a requirement with respect to positioning. A positioning server 10 comprises a first positioning component 12 that performs positioning of a cellular terminal 20 by a hybrid algorithm 1, in which indoor/outdoor determination is performed on the basis of reception state information indicating the reception state at the cellular terminal 20, and in which an end condition is determined on the basis of the result of the indoor/outdoor determination; and a second positioning component 13 that performs positioning of the cellular terminal 20 by a hybrid algorithm 2, in which the approximate position of the cellular terminal 20 is calculated on the basis of reception state information indicating the reception state at the cellular terminal 20, and in which whether or not to end the positioning of the cellular terminal 20 is decided on the basis of the precision of the approximated position.
摘要:
The reconfigurable radio direction finder system and method uses a reconfigurable antenna to electronically cycle through a plurality of different antenna configurations to determine a signal direction. Specifically, the reconfigurable antenna is cycled through N different antenna configurations, where N is an integer greater than one, where each antenna configuration has a pointing direction associated therewith defined by an elevation angle θn of an n-th antenna configuration, where n is an integer between 1 and N, and an azimuthal angle φn of the n-th antenna configuration. A received signal strength of the radio signal is measured for each of the antenna configurations as a power output of the n-th antenna configuration, Pn. A spherical weighted directional mean vector (XDF, YDF, ZDF) is then estimated for the radio signal as X DF = 1 N ∑ n = 1 N P n cos ( ϕ n ) sin ( θ n ) , Y DF = 1 N ∑ n = 1 N P n sin ( ϕ n ) sin ( θ n ) and Z DF = 1 N ∑ n = 1 N P n sin ( θ n ) .
摘要:
Methods for generating more accurate location estimates are based on indicative factors. The factors are gleaned from wireless signals that were received by a wireless terminal and from other network-specific data. Each factor is probative of whether the wireless signals were received by the wireless terminal: (i) indoors versus outdoors, and/or (ii) “above-the-clutter” versus “below-the-clutter” of ambient wireless signals, and/or (iii) while moving at a certain speed classification, e.g., stationary/pedestrian versus vehicular speeds. Each factor tends to prove or disprove the particular characteristic. The result is an estimated probability, such as the probability that the wireless terminal received the signals indoors. The estimated probability is applied to the analysis of candidate locations, eliminating some candidates from further consideration. This enables computational resources to focus on the remaining higher-likelihood candidate locations and provides improved accuracy in the location estimate.