Abstract: Methods and systems populate a speech signature database with unique speech signatures that are associated with one or more speaker identities and are further associated with one or more mobile stations and/or telephone numbers. Real-time voice signals are compared to the speech signatures in the speech signature database. When a match is found, the mobile station from which the voice signal originated is located in real-time. Further, the associations in the speech signature database are leveraged to find other relevant mobile stations or users and to generate additional associations and to also locate associated users and mobile stations.

Abstract: A technique is disclosed for estimating the location of a wireless terminal at an unknown location in a geographic region. The technique is based on a two-part recognition, the first part being that there are certain optical and acoustic characteristics that are present in some environments while not being present in others, such as lighting flicker and sound reverberation. The second part of the recognition is that a correlation exists between the presence of flicker and reverberation in the vicinity of a wireless terminal and whether the wireless terminal is indoors or not. Under certain environmental conditions, flicker and reverberation are often present indoors but not outdoors. By accounting for flicker and reverberation being detected or not being detected in the vicinity of the wireless terminal, the disclosed technique is able to estimate whether the wireless terminal is indoors, which the technique also uses to improve the location estimate.

Abstract: A technique is disclosed for estimating the location of a wireless terminal at an unknown location in a geographic region. The technique is based on a two-part recognition, the first part being that there are certain lighting and acoustic characteristics that are present in some environments while not being present in others, such as lighting flicker and sound reverberation. The second part of the recognition is that a correlation exists between the presence of flicker and reverberation in the vicinity of a wireless terminal and whether the wireless terminal is indoors or not. Under certain environmental conditions, flicker and reverberation are often present indoors but not outdoors. By accounting for flicker and reverberation being detected or not being detected in the vicinity of the wireless terminal, the disclosed technique is able to estimate whether the wireless terminal is indoors, which the technique also uses to improve the location estimate.

Abstract: 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.

Abstract: An illustrative geo-temporal analysis system analyzes telecommunications-event records and other records associated with wireless terminals to infer a collaborative relationship between users who do not telecommunicate with each other, based on how precisely a first geo-temporal pattern matches a second geo-temporal pattern. When a collaborative relationship is inferred, the system transmits an indication thereof and a request for an estimated location of the respective wireless terminals.

Abstract: An illustrative behavior analysis system and a corresponding method are designed to analyze telecommunications-event records and other relevant records associated with wireless terminals to infer whether a wireless user's pattern of behavior is substantially similar or even identical to the pattern of behavior of another user, possibly a known actor, A pattern of behavior typically comprises call-related and location attributes over a period of time. Accordingly, the illustrative embodiment infers an identity or a substantial similarity as between two seemingly distinct users of wireless terminals, based on: (i) how precisely a candidate's pattern of behavior matches a pre-defined pattern of behavior, and/or (ii) how precisely a candidate's pattern of behavior matches another candidate's pattern of behavior.

Abstract: A location engine is disclosed that estimates the location of a wireless terminal using (i) cell ID, (ii) triangulation, (iii) GPS, (iv) RF pattern-matching, or (v) any combination of them. The location engine is adept at discounting the contribution of apparently reasonable but erroneous data. The location engine receives data that are evidence of the location of a wireless terminal at each of a plurality of different times. The location engine then generates an initial hypothesis for the location of the wireless terminal at each time assuming that all of the data is correct and equally probative. Next, the location engine generates one alternative hypothesis for each initial hypothesis and each datum assuming that the datum is erroneous. Finally, the location engine generates the estimate for the location of the wireless terminal at each time by determining which combination of initial hypotheses and alternative hypothesis is the most self-consistent.

Abstract: A location engine is disclosed that estimates the location of a wireless terminal using (i) cell ID, (ii) triangulation, (iii) GPS, (iv) RF pattern-matching, or (v) any combination of them. The location engine is adept at discounting the contribution of apparently reasonable but erroneous data. The location engine receives data that are evidence of the location of a wireless terminal at each of a plurality of different times. The location engine then generates an initial hypothesis for the location of the wireless terminal at each time assuming that all of the data is correct and equally probative. Next, the location engine generates one alternative hypothesis for each initial hypothesis and each datum assuming that the datum is erroneous. Finally, the location engine generates the estimate for the location of the wireless terminal at each time by determining which combination of initial hypotheses and alternative hypothesis is the most self-consistent.

Abstract: A behavior analysis system analyzes large volumes of records that report on telecommunications events associated with wireless terminals. The behavior analysis system filters the large volume of available records based on investigation-specific rules, resulting in a set of candidate wireless terminals. The illustrative embodiment determines a pattern of behavior for each candidate. Each candidate is measured for how precisely it satisfies the investigation-specific rules. Each candidate is further analyzed for aberrations, if any, relative to the established pattern of behavior. An aberration tends to prove or disprove whether a candidate is more likely to be a true suspect in the given investigation.

Abstract: A telecommunications system is disclosed comprising a wireless switching center and plurality of base stations that are configured to transmit positioning reference signals. The base stations transmit the positioning reference signals in positioning subframe time intervals. Meanwhile, the base stations also transmit cell-specific reference signals continuously, including during the positioning subframe time intervals. In order to ensure that the wireless terminal measures those cell-specific reference signals during periods of lower interference, the base station imposes a measurement restriction on the wireless terminal, in regard to when it may measure a signal. As a result of utilizing the measurement restriction in this way, in combination with the improved interference characteristics of the positioning reference signals themselves, the ability of the wireless terminal to detect the cell-specific reference signals of more distant cells is improved.

Abstract: An illustrative system and method for detecting a wireless terminal in a wireless network by ascertaining information about the wireless terminal's location, thus enabling individualized surveillance and tracking of certain wireless terminals. In some embodiments, the detection is triggered by a signal that is compliant with the Customized Applications for Mobile networks Enhanced Logic (“CAMEL”) protocol. Several kinds of mobile-telecommunications events can trigger detection, including events that do not involve call origination. Advantages include bypassing the home location register when obtaining a location estimate for the wireless terminal and when determining whether a wireless terminal is of interest.

Abstract: A system and method are disclosed for triggering location estimation of mobile stations in a geographic region of interest. The disclosed system includes a list of International Mobile Subscriber Identities (“IMSI”) used to track which mobile stations are to have location estimates generated, a database of Network Measurement Reports (“NMR”) used for generating the location estimates, and a location engine. The system operates as a group of concurrently executing processes that i) process IMSIs and NMRs that are extracted by and received from probes that monitor communication links; ii) generate location estimates of mobile stations in the region of interest, based on a sequential indexing of the IMSI list; iii) maintain the freshness of the NMR database; and iv) maintain the freshness of the IMSI list. These processes operate such that the triggering of the location estimations occurs asynchronously with respect to the detection of information on the communication links.

Abstract: 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 traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Abstract: 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 traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Abstract: 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 traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Abstract: 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.

Abstract: A method of using a non-GPS-derived technique to estimate the location of an Assisted-GPS-enabled wireless terminal for the purposes of generating location-specific assistance data for the wireless terminal is disclosed. The wireless terminal then uses the assistance data to acquire and process one or more GPS signals and to derive information that is probative of the wireless terminal's location. The GPS-derived location information is then combined with non-GPS-derived location to form an estimate of the location of the wireless terminal that is better than can be derived from either alone. This combination of GPS-derived and non-GPS techniques is particularly useful when the wireless terminal can only acquire one or two GPS signals because it is not possible to determine the location of the wireless terminal with only two GPS signals alone.

Abstract: A method of estimating the location of a wireless terminal is disclosed that is ideally suited for use with legacy systems. The illustrative embodiment of the present invention is based on the observation that the signal strength of a signal from a transmitter is different at some locations, and, therefore, the location of a wireless terminal can be estimated by comparing the signal strength it currently observes against a map or database that correlates locations to signal strengths. For example, if a particular radio station is known to be received well at a first location and poorly at a second location, and a given wireless terminal at an unknown location is receiving the radio station poorly, it is more likely that the wireless terminal is at the second location than it is at the first location.

Abstract: An apparatus and method are disclosed for tracking a large number of wireless terminals and for estimating the location of the terminals at each instant. Some embodiments of the present invention use a wide variety of factors to determine the order and frequency with which each wireless terminal is located. These factors include, but are not limited to, the history of the location of the wireless terminal, the time of day, and the weather.

Abstract: A method for estimating whether or not a wireless terminal is in a zone is described. The method is based on the following observation: when a wireless terminal is at a particular location, the values of the traits of the ambient electromagnetic signals that vary with location represent a “fingerprint” or “signature” for that location. This enables the location of a wireless terminal to be estimated by comparing the observed values of the traits of the ambient electromagnetic signals with the fingerprint for each potential location for the wireless terminal.