子分类：
| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 301 | POSITIONING SYSTEM AND POSITIONING METHOD | US16378543 | 2019-04-08 | US20190235044A1 | 2019-08-01 | Guangsong Liu |
| Embodiments of the present disclosure provide a positioning system and positioning method. A reverse calibrator for respectively calibrating relative coordinates of at least three ultrasound generators; a processor for generating a carrier signal, multiplying the carrier signal with a spread spectrum pseudo random code to obtain ranging signal, controlling each ultrasound generator to emit ranging signal, and extracting acoustic characteristic parameter of the ranging signals; a device being positioned for capturing ranging signals emitted by each generator, extracting acoustic characteristic parameter of each of the captured ranging signals; determining an ultrasonic delay time of each ultrasonic ranging signal; calculating relative coordinates of the device. | ||||||
| 302 | SYSTEMS, DEVICES, AND METHODS FOR DETERMINING A LOCATION OF A COMPUTING DEVICE VIA A CURRENT STATE OF THE COMPUTING DEVICE AND SIGNALS RECEIVED BY AND/OR FROM OTHER COMPUTING DEVICES | US16327285 | 2017-05-17 | US20190200317A1 | 2019-06-27 | Philip Yuen; Chung Yin Terence Kwok; Chin Man Leon Chung; Chak Man Lam; Cham Him Mak |
| Embodiments relate to location determination of computing devices. An example system includes a processor configurable to identify, from a first device, a second device transmitting wireless signals to the first device. The processor is configurable to determine, from the first device, a transmission time of the wireless signals received by the first device from the second device. The processor is configurable to identify, from the first device, a third device transmitting wireless signals to the second device. The processor is configurable to determine, from the first device, a transmission time of the wireless signals received by the second device from the third device. The processor is configurable to derive a location status of the first device based on the identification of the second and third devices and the transmission times of the wireless signals received by the first and second devices from the second and third devices, respectively. | ||||||
| 303 | Air Traffic Communication | US15390255 | 2016-12-23 | US20190156681A1 | 2019-05-23 | Gregory Whiting; James Burgess; Chirath Thouppuarachchi |
| Apparatus and methods related to autonomous aerial communications are included. A computing device can detect data associated with relevant events, determine information related to the event that should be communicated and a target aerial vehicle for that information, identify one or more operational parameters of the target aerial vehicle, and, based on those operational parameters, select a language associated with the target aerial vehicle, and generate and transmit a message expressing that information in the selected language to the target aerial vehicle. In a further aspect, a computing device can detect data associated with relevant events, determine information related to the event that should be communicated and a target recipient for that information, identify one or more operational parameters of the target recipient, and, based on those operational parameters, select a language associated with those operational parameters, and generate and transmit a message expressing that information in the selected language to the target recipient. | ||||||
| 304 | METHOD FOR TRANSMITTING A QUANTIZED VALUE IN A COMMUNICATION SYSTEM | US15767136 | 2016-10-10 | US20190072662A1 | 2019-03-07 | Wenfeng Zhang |
| The presented invention claims new method for transmission of a quantization value by segmenting the quantization range into a number of number of contiguous value ranges, and using a quantization with scaling in each of value range, to reduce the quantization error, wherein the quantization is applied to those timing measurements when they are transmitted from the mobile station to the network server. | ||||||
| 305 | System and methods for locating a mobile device | US15520145 | 2016-05-05 | US10129848B2 | 2018-11-13 | Graham R Worsfold; Geoffrey Girdler |
| A system for locating a mobile device emitting a radio frequency signal. A wireless access point device of a wireless local area network is configured to communicatively connect to a wide area network. The system comprises a first access device for wirelessly communicatively detecting a first signal strength of the radio frequency signal in relation to the first access device, a media access control (MAC) address, and a first timestamp of the first signal strength, of the mobile device; a second access device for wirelessly communicatively detecting a second signal strength of the radio frequency signal in relation to the second access device, the MAC address, and a second timestamp of the second signal strength, of the mobile device; a third access device for wirelessly communicatively detecting a third signal strength of the radio frequency signal in relation to the third access device, the MAC address, and a third timestamp of the third signal strength, of the mobile device. | ||||||
| 306 | SYSTEM AND METHOD OF SENSOR TRIGGERING FOR SYNCHRONIZED OPERATION | US16027706 | 2018-07-05 | US20180313928A1 | 2018-11-01 | Morgan Jones |
| A sensor triggering system for a sensor apparatus including a plurality of sensors. The system detects a first sensor pulse and determines a memory address of a lookup table based on the first sensor pulse. In response to the first sensor pulse, the system selectively triggers one or more of the plurality of sensors based at least in part on a codeword stored at the first memory address. For example, the codeword may comprise a number of bits such that each bit of the codeword indicates an activation state for a respective one of the plurality of sensors. | ||||||
| 307 | Detecting and mitigating wardriving | US15251204 | 2016-08-30 | US10116669B2 | 2018-10-30 | Serguei Mankovskii; Steven L. Greenspan; Maria Cecilia Velez Rojas |
| Determining the physical location of wirelessly connected devices within a network can provide a number of security benefits. However, manually determining and configuring the physical location of each device within a system can be burdensome. To ease this burden, devices within a network are equipped with a location detection sensor that is capable of automatically determining a device's location in relation to other devices within the network. A location detection sensor (“sensor”) may include a light source, a light direction sensor, a rangefinder, and a radio or wireless network interface. Two location detection sensors can perform a location detection process to determine their relative locations to each other, such as the distance between them. As more sensors are added to a network, a sensor management system uses the relative locations determined by the sensors to map the sensors to a physical space layout. | ||||||
| 308 | Multiple antenna AP positioning in wireless local area networks | US14508979 | 2014-10-07 | US10104493B2 | 2018-10-16 | James June-Ming Wang; Thomas Edward Pare, Jr.; Yuh-Ren Jauh; YungPing Hsu; Chih-Shi Yee; Chao-Chun Wang; Gabor Bajko |
| A method of indoor positioning using Fine Timing Measurement (FTM) protocol with multi-antenna access point (AP) is proposed. In a wireless local area network, an AP has multiple antennas that are strategically located in different physical locations. The AP is used to exchange FTM frames with a wireless station for timing measurement of the FTM frames via its multiple antennas independently. The timing measurement result (e.g., timestamps of transmitting and receiving FTM frames) is then used to determine an absolute location of the station. A simplified Indoor Location operation with simplified deployment is achieved. | ||||||
| 309 | NAVIGATION SYSTEM UTILIZING YAW RATE CONSTRAINT DURING INERTIAL DEAD RECKONING | US15479875 | 2017-04-05 | US20180292212A1 | 2018-10-11 | Michael Bobye |
| A system operating in a dead reckoning mode accumulates relative yaw measurements, i.e., measurements of rotation about a z-axis, made by one or more over mechanization update intervals and produces dead reckoning mechanization update values. The system accumulates the values over a turn rate accumulation period, calculates a yaw rate and determines if the yaw rate exceeds a turn rate threshold. If so, the system directs an INS filter to perform a zero yaw rate update at the start of a next mechanization update interval, to correct for the z-axis drift errors of the gyroscopes based on the sensed rotation in the relative yaw measurements over the previous mechanization update interval. The system then sets the z-axis drift errors to zero. If the system determines that the yaw rate exceeds the turn rate threshold, the zero yaw rate update is not performed at the start of the next mechanization update interval. | ||||||
| 310 | SYSTEM AND METHOD FOR TELECOM INVENTORY MANAGEMENT | US15922572 | 2018-03-15 | US20180276241A1 | 2018-09-27 | Ramya Sugnana Murthy HEBBALAGUPPE; Ehtesham Hassan; Gaurav; Hiranmay Ghosh |
| This disclosure relates generally to telecom inventory management, and more particularly to telecom inventory management via object recognition and localization using street-view images. In one embodiment, the method includes obtaining street-view images of a geographical area having telecom assets. The telecom assets are associated with corresponding GPS location coordinates. An object recognition model is applied to the street-view images to detect the telecom assets therein. Detecting the telecom assets includes associating the telecom assets with corresponding asset labels. A real-world location of the telecom assets is estimated in the geographical area by applying triangulation method on a set of multi-view images selected from the street-view images. The set of multi-view images are captured from a plurality of consecutive locations in vicinity of the telecom asset in the geographical area. The GPS location coordinates of the telecom assets are validated based at least on the estimated real-world location. | ||||||
| 311 | System for detecting interference sources and method for detecting interference sources | US15372408 | 2016-12-08 | US10085271B2 | 2018-09-25 | Yen-Cheng Chao |
| A method for detecting a source of interference creates a sorting table according to distances between station devices and an access point (AP) device, and the created sorting table is sent to the AP device. The AP device determines upon a target device from the sorting table and controls the target device to acquire status and distance information between target device and AP device and send the information to the AP device. A value ε is computed according to the information sent by the target device and the calculated value ε is compared with a preset value k. The source of an interference, which affects the signal sent by the AP device, is calculated based on the comparison, and the AP device applies appropriate de-noising to the signal according to the determined interference source. | ||||||
| 312 | APPARATUS, SYSTEM AND METHOD OF PROVIDING WLAN MEASUREMENT INFORMATION FROM A CELLULAR NODE TO A LOCATION SERVER | US15748342 | 2015-12-24 | US20180227874A1 | 2018-08-09 | Alexander SIROTKIN |
| Some demonstrative embodiments include devices, systems and methods of providing WLAN measurement information from a cellular node to a location server. For example, an apparatus of an eNB may include a network interface configured to receive a request message, the request message including a request from a location server for WLAN measurements corresponding to a UE; and a location processing component configured to trigger the eNB to send a measurement request to at least one measurement provider selected from the group consisting of the UE and at least one WLAN AP, the location processing component configured to receive from the at least one measurement provider WLAN measurement information, which is based at least on a range between the UE and the WLAN AP, the location processing component configured to trigger the eNB to send to the location server a response message including the WLAN measurement information. | ||||||
| 313 | DEVICES, SYSTEMS AND METHODS OF LOCATION IDENTIFICATION | US15926096 | 2018-03-20 | US20180220259A1 | 2018-08-02 | Po-Jen Tu; Jia-Ren Chang; Ming-Chun Fang; Chun-Chi Ho; Chia-Hsun Lee; Wen-Cheng Hsu; Chao-Kuang Yang |
| A location identification device, adopted in an audio output device outputting an audio signal, includes a first audio receiving device, a second audio receiving device, and a processor. The first audio receiving device samples the audio signal by a sampling frequency to generate first sample points. A waveform of the audio signal is a superposition result of a high frequency signal and an envelope. The second audio receiving device, which is away from the first audio receiving device at a predetermined distance, samples the audio signal by the sampling frequency to generate second sample points. The processor obtains the first envelope of a first characteristic value and the second envelope of a second characteristic value for identifying a location of the audio output device according to a time difference and an amplitude difference between the first characteristic value and the second characteristic value. | ||||||
| 314 | System and method for information enhancement in a mobile environment | US15119967 | 2015-02-18 | US10038982B2 | 2018-07-31 | Martin C. Alles; Suryanarayana A. Kalenahalli; Andrew E. Beck; Thomas B. Gravely; Javier F. Cereceda |
| This disclosure pertains to systems and methods that may be used to increase the information content of a mobile device so as to locate, track, or determine the behavior of a mobile device and/or the user of the mobile device. Separate pieces of information (information snippets) may be aggregated over time to form information linkages. The snippets and linkages may be associated with a time stamp and/or a time frame. The snippets and linkages may be associated with a probability value which may be updated as more information is acquired. The snippets and linkages may be aggregated with, for example a building floor plan to provide more complete informational description of the mobile device and/or the behavior of the user of the mobile device (information map). | ||||||
| 315 | IN-VEHICLE DEVICE POSITION DETERMINATION | US15745950 | 2015-08-04 | US20180213351A1 | 2018-07-26 | Oleg Yurievitch Gusikhin; Perry Robinson MacNeille; John William Schmotzer |
| A system comprising a mobile computing device that includes a processor and a memory. The memory storing programming executable by the processor to detect an identifier in each of two or more of asynchronous light sources detected by a light sensor, the identifier including a position of the light source and use at least a coordinate system having an origin in the light sensor and the position of the light source, to determine a location of the mobile device. | ||||||
| 316 | DEVICE AND METHOD FOR BEAM FORMING FOR ESTIMATING DIRECTION OF TERMINAL | US15741659 | 2016-06-30 | US20180205421A1 | 2018-07-19 | Haesung PARK; Changsoon CHOI |
| A beamforming device is provided. The beamforming device comprises: a beam deriving unit for deriving, among multiple reception beams, a first reception beam receiving, from a terminal, the first largest reception signal and a second reception beam receiving, from the terminal, the second largest reception signal; and a control unit for estimating the direction of the terminal on the basis of a ratio value between the size of the reception signal received through the first reception beam and the size of the reception signal received through the second reception beam. | ||||||
| 317 | Quantifying mobility of mobile devices via a privacy preserving mobility metric | US15887126 | 2018-02-02 | US10028095B1 | 2018-07-17 | Scott Michael Murff |
| Embodiments of the invention generate metrics quantifying the mobility of a mobile device without persisting information related to the device's specific location at any given time. Specifically, at multiple intervals, a value of a mobility metric is computed based on the distance between the current location of the mobile device and a previously identified origin location of the mobile device. The values of the mobility metric computed over a period of time quantify the overall mobility of the mobile device. The mobility metric does not provide any information regarding the specific location of the mobile device at any given time. | ||||||
| 318 | Location based voice association system | US15236120 | 2016-08-12 | US10026403B2 | 2018-07-17 | Cheng Tian; Srivathsan Narasimhan |
| Systems and methods for associating audio signals in an environment surrounding a voice-controlled system include receiving by a voice-controlled system through a microphone, an audio signal from a user of a plurality of users within an environment surrounding the microphone. The voice-controlled system determines a source location of the audio signal. The voice-controlled system determines a first user location of a first user and a second user location of a second user. The voice-controlled system then determines that the first user location correlates with the source location such that the source location and the first user location are within a predetermined distance of each other. In response, the voice-controlled system performs at least one security action associated with the first user providing the audio signal. | ||||||
| 319 | METHOD AND APPARATUS FOR PROVIDING ADAPTIVE LOCATION SAMPLING IN MOBILE DEVICES | US15388879 | 2016-12-22 | US20180184395A1 | 2018-06-28 | Jane MACFARLANE; Bo XU |
| An approach is provided for providing adaptive location sampling in mobile devices. The approach involves determining one or more maneuvers from among a plurality of one or more links representing a localized area of a transportation network. Each of the one or more maneuvers is a combination of two or more adjacent links of the one or more links. The approach also involves determining a road length and a speed attribute for each link in said each maneuver. The approach further involves calculating a travel time for said each maneuver based on the road length and the speed attribute of said each link. The approach further involves calculating a sampling interval for the mobile device traveling in the localized area based on the travel time. The mobile device is configured to collect probe data using one or more sensors at the sampling interval while traveling in the localized area. | ||||||
| 320 | Receiver with coherent matched filter | US15462450 | 2017-03-17 | US09992011B1 | 2018-06-05 | Timothy Dyson |
| In one implementation, a receiver has a module to calculate the cross-correlation between a portion of a digital representation of a received signal and a reference signal. The receiver also has a module to generate an estimate of a portion of a message potentially included in the digital representation of the received signal and a screening module to determine the likelihood that the received signal includes a message. For a received signal that is determined likely to include a message, the receiver includes a carrier refinement module to shift the frequency of carrier pulses in the digital representation of the received signal toward a desired frequency and to align the phase of carrier pulses in the digital representation of the received signal with a desired phase and a coherent matched filter to recover the message from the digital representation of the received signal. | ||||||
QQ群二维码
意见反馈
意见反馈