Abstract:
For example, a processor may be configured to determine a plurality of potential targets based on radar data; and to identify one or more true targets in the plurality of potential targets by identifying a first potential target and a second potential target, which are at a same angle relative to the radar antenna; classifying the first potential target as a first true target based on a determination that a range between the first potential target and the radar antenna is shorter than a range between the second potential target and the radar antenna; and classifying the second potential target as a second true target or as a ghost target of the first true target according to a classification criterion.
Abstract:
Some demonstrative embodiments include apparatuses systems and/or methods of ranging measurement. For example, an apparatus may include circuitry and logic configured to cause a first wireless communication station (STA) to receive from a second STA a sounding transmission for a range measurement of a range between the first STA and the second STA; to determine a channel response estimation based on the sounding transmission from the second STA; to determine a timing value based on the channel response estimation; and to transmit a feedback message to the second STA, the feedback message including the timing value.
Abstract:
A method and system for time-of-flight (ToF) positioning in an IEEE 802.11 network comprises a responder station to transmit samples of preambles as the preambles are received. The samples represent channel information. The preambles comprise extension high-throughput long training fields (HT-LTFs). An initiator station is arranged to perform a time-of-arrival calculation based at least in part on an analysis of the channel information.
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:
Examples are disclosed for a mobile device to determine its location by trilateration with docked mobile devices and, optionally, wireless access points. Locations are determined to within an accuracy of within three feet. The docked mobile devices are at fixed locations such as docked to a docking station. In some examples, a mobile device may perform ranging to the docked mobile devices and fixed wireless stations. Ranging may use a time-of-flight (ToF) process, and may compensate for multipath interference. Trilateration may consider relative accuracies of ranging components. Other examples are described and claimed.
Abstract:
Mobile communication stations (STA) and a method for position estimation in a wireless network having access points (APs) are disclosed. The STA is configured to perform position estimation operations, with respect to the APs, based on a position latency parameter, a rate parameter, a power parameter, and an accuracy parameter. An upper layer of the STA may send the parameters to a position provider that generates the position estimation measurements and transmits the results back to the upper layer wherein the results include the position of the STA prior to the present time and the length of time from the present time to the time that the STA was at that particular position.
Abstract:
An apparatus, a system and a method of waking up a station in a wireless local area network (WLAN) to perform time of flight (ToF) measurements. A wake-up signal for waking the station may be configured for a low energy signaling.
Abstract:
According to various embodiments, a radar device is described comprising a processor configured to generate a scene comprising an object based on a plurality of receive wireless signals, generate a ground truth object parameter of the object and generate a dataset representative of the scene and a radar detector configured to determine an object parameter of the object using a machine learning algorithm and the dataset, determine an error value of the machine learning algorithm using a cost function, the object parameter, and the ground truth object parameter and adjust the machine learning algorithm values to reduce the error value.
Abstract:
For example, an apparatus may include a radar antenna including at least one Transmit (Tx) antenna to transmit a Tx radar signal; and a plurality of Receive (Rx) antennas to receive Rx radar signals based on the Tx radar signal, wherein a distance between a first Rx antenna of the planarity of Rx antennas and a second Rx antenna of the plurality of Rx antennas, which is adjacent to the first Rx antenna, is at least ten times a wavelength of a central frequency of the Tx radar signal.