Patent classifications
G01S5/145
Location Estimation and Tracking for Passive RFID and Wireless Sensor Networks Using MIMO Systems
Systems and methods for location estimation and tracking for passive RFID and wireless sensor networks in accordance with embodiments of the invention are disclosed. In one embodiment, a process for obtaining location information using an RFID reader system includes transmitting a combined interrogation and ranging signal from a plurality of antennas, where the ranging signal is a pseudorandom signal, receiving a backscattered return signal from an RFID tag at one or more receive antennas, extracting an information signal from the return signal and decoding the information signal to obtain RFID tag data, extracting a received ranging signal from the return signal, and estimating a range to the RFID tag based upon correlation between the ranging signal and the received ranging signal.
INTERFERENCE DETECTION AND REJECTION FOR WIDE AREA POSITIONING SYSTEMS USING MAXIMAL RATIO COMBINING IN THE CORRELATION DOMAIN
Interference detection and mitigation using maximal ratio combining in the correlation domain. Systems and methods for interference detection and mitigation using maximal ratio combining in the correlation domain may receive a plurality of copies of a positioning signal, compute a plurality of correlation functions using the received positioning signals; weight the plurality of correlation functions using a plurality of weights that are proportional to the quality of the plurality of correlation functions, and generate a combined correlation function by combining the weighted correlation functions.
ABNORMALITY DETECTION METHOD OF INFRASTRUCTURE SENSOR APPARATUS, INFRASTRUCTURE SENSOR APPARATUS, INFRASTRUCTURE SENSOR SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING AN ABNORMALITY DETECTION PROGRAM
An abnormality detection method of an infrastructure sensor apparatus according to the present disclosure is an abnormality detection method of an infrastructure sensor apparatus configured to detect a mobile body that passes within a sensing range, the abnormality detection method including: calculating mobile body information at least including positional information and moving speed information on the mobile body based on information on the mobile body detected by the infrastructure sensor apparatus; calculating probe data at least including positional information and moving speed information on the mobile body based on self positional information of the mobile body received using a radio communication function included in the mobile body; and performing abnormality determination processing in which it is determined that there is an abnormality in the infrastructure sensor apparatus when the mobile body information does not match the probe data.
ANGLE OF ARRIVAL DETERMINATION IN ELECTRONIC DEVICES WITH FUSED DECISION FROM MOTION
A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the signal information, the first location information indicating whether the target device is within a field of view (FoV) of the electronic device. Additionally, the method includes identifying second location information based on the motion information and the signal information, the second location information indicating whether the target device is within the FoV of the electronic device. The method also includes determining that the target device is within the FoV or outside the FoV of the electronic device based on at least one of the first location information or the second location information.
Wide area positioning system
Positioning systems and methods for estimating an altitude of a receiver. In some embodiments, pressure and temperature information from a network of sensors is received by the receiver, and the pressure and temperature information from the network of sensors is used along with pressure information measured at a position of the receiver to estimate the altitude of the receiver.
GNSS cooperative receiver system
A GNSS cooperative receiver system that can be utilized when one or more GNSS receivers is in a compromised position where it cannot receive direct signals from a sufficient number of GNSS satellites. This may in the interior of an office building or multi-dwelling unit, which may be in the vicinity of other tall buildings. The receivers determine their relative positions from one of various ranging techniques, and then with this relative position information, pseudoranges, and correlation values from the various GNSS receivers, the best GNSS solution can be determined for the group of cooperative receivers. This could include two or more receivers in a group. There also related techniques for one receiver to be a designated, remote anchor for other GNSS receivers that need such assistance.
Navigation system, navigation method and receivers
TADF receivers for a navigation system, TADF navigation system and method using TADF material based navigation.
SUB-METER ACCURATE NAVIGATION AND CYCLE SLIP DETECTION WITH LONG-TERM EVOLUTION (LTE) CARRIER PHASE MEASUREMENTS
This disclosure is directed to sub-meter level navigation accuracy for Unmanned Aerial Vehicles (UAVs) using broadband communication signals, such as cellular long-term evolution (LTE) signals. A framework and methods are provided using a receiver and controller to produce at least one of carrier phase, code phase, and Doppler frequency measurements from received LTE signals. Single difference measurements may be used to remove clock bias. LTE ENodeB clock biases are initialized using the known initial position of the UAV. The measurements are fused via an extended Kalman filter (EKF) to estimate the UAV position and integer ambiguities of the carrier phase single difference measurements. LTE signals can have different carrier frequencies and conventional algorithms do not estimate the integer ambiguities. Processes are described to detect cycle slip, where the carrier phase measurements from the LTE eNodeB multiple antenna ports are used to detect cycle slip.
SIDELINK RANGING AND MULTILATERATION
A transceiver for a wireless communication system is configured to: communicate with at least one other transceiver of the system using a sidelink resource pool of the system; transmit signals on resources of the pool that are allocated to the transceiver on a period basis with equal length periods t.sub.periodA; transmit a first signal on a first resource of the resources allocated to the transceiver, and receive a second signal from another transceiver of the system on a second resource, the second signal being transmitted by the other transceiver responsive to a reception of the first signal, the second signal being transmitted by the other transceiver on the second resource using the period t.sub.periodA based on which the resources are allocated to the transceiver; determine a distance to the other transceiver based on a time t.sub.roundA between the transmission of the first signal and the reception of the second signal from the other transceiver, and based on the period t.sub.periodA based on which the resources are allocated to the transceiver.
METHOD AND APPARATUS FOR RAPID LOCATION OF DATA ACQUISITION DEVICES
A method and apparatus for locating a beacon in physical space, where the beacon communicates with at least one of a plurality of gateways in the physical space. First signals are transmitted between gateways located at respective physical locations. Gateway-to-gateway measurements of power related to the first signals are stored. The gateway-to-gateway measurements are averaged to obtain averaged gateway-to-gateway measurements. Second signals are transmitted between a beacon and one or more of the gateways. Beacon-to-gateway measurements of power related to the second signals are stored. The beacon-to-gateway measurements are averaged to obtain averaged beacon-to-gateway measurements. First distances between the beacon and the gateways are calculated based on the averaged gateway-to-gateway measurements and the averaged beacon-to-gateway measurements. Second distances are calculated based on at least ones of the averaged beacon to gateway measurements and an expected measurement of power related to the beacon. Position of the beacon is determined based on the second distances. The position of the beacon is transmitted so that the position is subsequently displayed.