Abstract:
Some aspects relate to an apparatus, method and/or system of radar tracking. For example, a radar tracker may be configured to generate target tracking information corresponding to a plurality of targets in an environment of a radar device. For example, the radar tracker may include a processor configured to determine the target tracking information based on a plurality of multi-target density functions corresponding to a respective plurality of target types, and to update the plurality of multi-target density functions based on detection information corresponding to a plurality of detections in the environment. For example, the radar tracker may include an output to output the target tracking information.
Abstract:
Some demonstrative embodiments include apparatuses systems and/or methods of Collaborative Time of Arrival (CToA). For example, an apparatus may include circuitry and logic configured to cause a CToA broadcasting wireless communication station (STA) (bSTA) to broadcast an announcement frame to announce a ranging-to-self sequence of a CToA measurement protocol; to broadcast a first ranging measurement frame of the ranging-to-self sequence subsequent to the announcement frame; to broadcast a second ranging measurement frame of the ranging-to-self sequence subsequent to the first ranging measurement frame; and to broadcast a Location Measurement Report (LMR) frame of the ranging-to-self sequence subsequent to the second ranging measurement frame, the LMR frame including a Time of Departure (ToD) of the first ranging measurement frame.
Abstract:
A system for time-of-flight (ToF) positioning in an IEEE 802.11 network comprises an initiating station that transmits a request frame over a channel to a responding station for a ToF position measurement. The responding station may respond with an offloading of the channel information, request frame receipt time, and response frame transmit time back to the initiating station to enable the initiating station to calculate the ToF position with respect to the responding station.
Abstract:
Some demonstrative embodiments include devices, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a wireless communication unit to communicate a message between an access point and a mobile device, the message including a group identifier to indicate the access point belongs to a group of two or more access points having local coordinates measured with respect to a common origin point.
Abstract:
Some demonstrative embodiments include devices, systems and/or methods of communicating filter information. For example, a device may include a wireless communication unit to perform the functionality of a first station (STA) to communicate with a second STA, the wireless communication unit is to communicate filter information including Transmit (Tx) filter information, the Tx filter information representing one or more Tx filter parameters of one or more Tx filters utilized by at least one STA selected from the group consisting of the first STA and the second STA.
Abstract:
The disclosure generally relates to an enhanced positioning system and method using a combination or hybrid filter. In one embodiment, Time-Of-Flight (ToF) measurements are used to determine an approximate location for a mobile device in relationship to one or more Access Points. The ToF combined with known and unknown variables are then processed through a hybrid filter system to determine location of the mobile device. The hybrid filter system may include a Kalman Filter (KF) for processing linear models and generally Gaussian noise distribution. The KF assumes that the state probability of mobile device location is Gaussian. Such variables include, for example, WiFi ToF bias. The hybrid filter system may include a Bayesian Filter (BF) for processing variables having non-Gaussian noise distribution and non-linear models. Such variables include, for example, the coordinates of the mobile device. A probability determination from each of the KF and BF is then applied to estimate the mobile device location.
Abstract:
Embodiments of a communication station and method for time-of-flight (ToF) location determination in a wireless network are generally described herein. In some embodiments, a responding communication station receives a ToF measurement request. The responding communication station transmits an acknowledgment of the ToF measurement request. The responding communication station also transmits a response to the ToF measurement request that includes an indication of a time period for an initiating communication station to poll the responding communication station for a ToF result.
Abstract:
Some demonstrative embodiments include devices, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a wireless communication unit to communicate a message between an access point and a mobile device, the message including a group identifier to indicate the access point belongs to a group of two or more access points having local coordinates measured with respect to a common origin point.
Abstract:
The disclosure generally relates to an enhanced positioning system and method using a combination or hybrid filter. In one embodiment, Time-Of-Flight (ToF) measurements are used to determine an approximate location for a mobile device in relationship to one or more Access Points. The ToF combined with known and unknown variables are then processed through a hybrid filter system to determine location of the mobile device. The hybrid filter system may include a Kalman Filter (KF) for processing linear models and generally Gaussian noise distribution. The KF assumes that the state probability of mobile device location is Gaussian. Such variables include, for example, WiFi ToF bias. The hybrid filter system may include a Bayesian Filter (BF) for processing variables having non-Gaussian noise distribution and non-linear models. Such variables include, for example, the coordinates of the mobile device. A probability determination from each of the KF and BF is then applied to estimate the mobile device location.
Abstract:
Systems and methods are directed to use of a neighbor list for wireless indoor navigation. The neighbor list may include related information regarding all neighboring access points (APs). The neighbor list can be transmitted, at least partially, to include the related information of a desired number of or all APs in the neighbor list from one AP to a wireless device. The neighbor list can be transmitted in a Neighbor Report Response (NRR) or a time-of-flight (ToF) Response and allow the wireless device to scan for minimal number of APs for ToF measurements. By using the neighbor list, power consumption and time can be significantly reduced during wireless indoor navigation.