Abstract:
This disclosure describes methods, apparatus, and systems related to enhanced collaborative time of arrival operations for wireless communications. A device may send trigger frames and may receive one or more null data packets (NDPs) from respective anchor station devices at respective times. The device may send a first null data packet announcement (NDPA) indicating the respective times. The device may send a third NDP. The device may identify one or more uplink NDPAs received from the respective anchor station devices, the one or more uplink NDPAs indicating respective times of arrival of the NDPs at the respective anchor station devices. The device may send a location measurement report (LMR) protocol data unit (PDU).
Abstract:
Described herein are architectures, platforms and methods for implementing a direct estimation of a transmitter's position based upon raw radio frequency (RF) signals that are received by a portable device. A mathematical operation such as a maximum-likelihood estimation (MLE) algorithm, which utilizes collected snapshots from the received raw RF signals as variables, is implemented to perform direct estimation.
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:
Described herein are architectures, platforms and methods for implementing a direct estimation of a transmitter's position based upon raw radio frequency (RF) signals that are received by a portable device. A mathematical operation such as a maximum-likelihood estimation (MLE) algorithm, which utilizes collected snapshots from the received raw RF signals as variables, is implemented to perform direct estimation.
Abstract:
A positioning device is described comprising a memory storing, for each reflector of a plurality of reflectors, each generating a reflection of a signal transmitted by a sender, distance information representing the distance of the reflector from the sender and a determiner configured to determine a position of a communication device receiving a superimposition of the signal with the plurality of reflections of the signal generated by the plurality of reflectors based on the received superimposition and the distance information by performing a maximization of the likelihood of the position to be determined based on a difference between an estimated superimposition at the position to be determined and the received superimposition.