Qualcomm Incorporated

Augmented Radar Imaging, Inc.

Ketan N Patel

Victor Shtrom

Todd Gustavson

Darin Milton

Janine Cheng

Kuo-Chun Lee

Shailesh Maheshwari

Daniel Amerga

Gordon Kent Walker

Sivaramakrishna Veerepalli

Nagaraju Naik

Jack Shauh

Vidyut Naware

Jun Wang

Parvathanathan Subrahmanya

Ralph Akram Gholmieh

Nitin Kasturi

Jack Shyh-Hurng Shauh

Muralidharan Murugan

Udayan Murli Bhawnani

Jonathan Sidi

Ankur Verma

Eugene T Sy

Jack S Shauh

During a measurement technique, an electronic device may receive first sensor information associated with a first field of view and a first timestamp, and second sensor information associated with a second field of view and a second timestamp. For example, the electronic device may perform a first measurement using a first sensor and performing a second, different type of measurement using a second sensor. Therefore, the first sensor information and the second sensor information may be associated with different types of sensors. Moreover, the first timestamp and the second timestamp may be concurrent or in close temporal proximity, and the first field of view and the second field of view may at least substantially overlap. Then, the electronic device may store the first sensor information and the second sensor information in memory. In some embodiments, the electronic device stores the first timestamp and the second timestamp in the memory.

Dual-measurement data structure for autonomous vehicles

A circuit board in an electronic device includes a first set of transmit antennas and a first set of receive antennas arranged along an azimuth direction, and a second set of transmit antennas and a second set of receive antennas arranged along a direction that includes components in the azimuth direction and an elevation direction. Moreover, separations between adjacent transmit antennas in the first or second set of transmit antennas along the azimuth direction may be greater than one half of the fundamental wavelength. Furthermore, separations between adjacent receive antennas in the first or second set of receive antennas along the azimuth direction may equal one half of the fundamental wavelength. Additionally, adjacent antennas in the second set of transmit antennas and the second set of receive antennas may be partially offset from each other and partially overlap with each other along the elevation direction.

Virtual radar array having reduced size

During a location technique, a sensor module in a vehicle, which has non-retractable wheels in contact with a driving surface, determines a location of the vehicle. In particular, the sensor module is positioned on or in a direction of a side-facing surface of the vehicle. Moreover, during operation, the sensor module may transmit radar signals approximately perpendicular to a direction of motion of the vehicle. Then, the sensor module may receive reflected radar signals. Furthermore, the sensor module may analyze a time sequence of the reflected radar signals. Next, the sensor module may determine the location of the vehicle based at least in part on the analyzed time sequence of reflected radar signals.

Vehicle location determination using synthetic aperture radar

Certain aspects of the present disclosure relate to methods and apparatus for reporting signal quality in overlapping Multimedia Broadcast Single Frequency Networks (MBSFN) areas. A UE may determine a signal quality estimate for each of two or more overlapping MBSFN areas based on Signal to Noise Ratio (SNR) information and Modulation and Coding Scheme (MCS) information for the MBSFN area. The UE may then determine a combined signal quality based on the signal quality estimates of the MBSFN areas.

Methods and apparatus for reporting signal quality in overlapping multimedia broadcast single frequency network (MBSFN) areas

A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus receives a user service description (USD) message. When a frequency indicated in the USD message is not a current frequency, the apparatus determines that a system information message is received, determines that the frequency indicated in the USD message is included in the system information message, determines that the frequency is a neighboring cell frequency, sets a priority of the frequency to a highest priority, and measures a signal strength of the frequency when the frequency is included in the system information message, performs a cell reselection determination procedure based on the signal strength of the frequency, performs cell reselection to the neighboring cell based on a result of the cell reselection determination procedure, and acquires the multicast service in the neighboring cell on the frequency.

EMBMS service activation and maintenance procedure in multi-frequency networks

Dynamically control of receive diversity switching in a user equipment (UE) is disclosed. By dynamically controlling the switching between enabling and disabling the receive diversity, power consumption in UEs, such as smart phones and other mobile devices may be reduced. Control is based, at least in part, on measurements for data activity performed by the UE. When the UE finds measurements that would suggest data activity, the UE will switch to enable a receive diversity state when conditions are available for the switch. Similarly, when the UE finds measurements that would suggest data inactivity, the UE will switch to disable the receive diversity state when conditions are available for the switch.

Dynamic receive diversity switching

A method, an apparatus, and a computer program product for wireless communication are provided for prioritizing the performance of measurements during measurement gaps and the reception of multicast/broadcast content. The apparatus receives a configuration from a serving cell to perform a measurement during a measurement gap of a unicast service while in a connected mode. In addition, the apparatus determines whether to refrain from leaving the serving cell on a first frequency and performing the measurement on a second frequency of a neighboring cell in order to receive multicast/broadcast content associated with a multicast/broadcast service during the measurement gap.

Prioritizing inter-frequency/inter-RAT measurements and eMBMS in LTE

User experiences on wireless devices are affected by communication, computation, and user interface capabilities. Another key performance indicator of a wireless device is its battery life. A method, algorithm and apparatus for improving the communication, computation and user interface capabilities of a mobile device is disclosed, which requires the expenditure of less energy and increases battery life. The trade-off between battery life and user experience related to the communication capability is managed by a protocol stack power optimization algorithm that optimally allocates energy resources. The power management algorithm inputs and combines measurements made at various layers of the protocol stack to selectively control a set of actions impacting energy usage. The algorithm maps from a set of measurements to a set of actions that provides the best trade-off between user experience and energy consumption.

Protocol stack power optimization for wireless communications devices

Techniques for scaling symbols to account for large abrupt changes in received power at a user equipment (UE) are described. The UE performs AGC on received samples to obtain input samples. The UE processes (e.g., CDMA demodulates) the input samples to obtain first symbols. The UE determines the power of the input samples and derives a symbol gain based on (e.g., inversely related to) the power of the input samples. The UE scales the first symbols with the symbol gain to obtain detected data symbols having approximately constant amplitude, even with large abrupt changes in the power of the input samples. The UE estimates signal amplitude and noise variance based on the detected data symbols, computes LLRs for code bits of the detected data symbols based on the signal amplitude and noise variance, and decodes the LLRs to obtain decoded data.

Growing community of inventors

San Jose, CA, United States of America

Ketan N Patel