Patents by Inventor Sharanya Srinivas

Sharanya Srinivas has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220256496
    Abstract: Constant information ranging for dynamic spectrum access in a joint positioning-communications system is provided. Embodiments described herein provide a simultaneous positioning, navigation, timing, and communications system that cooperatively executes multiple radio frequency (RF) services. A constant-information ranging (CIR) strategy or algorithm is defined that maintains constant information learned about an incoherent moving target by modulating a revisit interval to minimize the number of interactions. This significantly reduces spectral congestion and offers a control mechanism to dynamically manage spectral access. The CIR algorithm is validated in a simulation environment where a 91% reduction in spectral access for a particular flight path is observed while maintaining a 3-centimeter (cm) precision in ranging.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 11, 2022
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Sharanya Srinivas, Daniel W. Bliss
  • Publication number: 20220247501
    Abstract: Hybrid in-situ and signal of opportunity (SoOP) calibration for antenna arrays is provided. Deployment of aircraft antennae is redesigned to support multiple services with shared physical elements that conform to the exterior of an aircraft to mitigate drag. Conformal arrays are, however, susceptible to structural changes in the fuselage that manifest as pointing errors and side lobe degradation. Embodiments provide an online calibration algorithm that leverages cooperative satellites in direct line-of-sight of a radio frequency (RF) device with an antenna array (e.g., an aircraft with a conformal antenna array) to optimally steer beams. These external calibration sources supplement an in-situ source mounted on a common platform with the antenna array (e.g., placed on the aircraft's tail). Models are established for potential sources of mismatch and the hybrid calibration method is demonstrated via simulations.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 4, 2022
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Sharanya Srinivas, Daniel W. Bliss
  • Publication number: 20210132177
    Abstract: Position information estimation in a distributed radio frequency (RF) communications system is provided. Embodiments disclosed herein facilitate high-precision estimations of positions, orientations, velocities, and acceleration of network nodes in a distributed RF network (e.g., including base stations and vehicles, such as aircraft or unmanned aerial systems (UASs)). Modern radio systems must adapt to limited spectral access by reducing spectrum demand and increasing operational efficiency. In this regard, an RF system is provided which simultaneously performs positioning and communications tasks. This system specifically addresses the issue of spectral congestion by employing an extremely efficient positioning strategy and using a joint waveform that simultaneously enables both tasks. This efficiency in turn supports more users in a given frequency allocation.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 6, 2021
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Sharanya Srinivas, Andrew Herschfelt, Daniel W. Bliss
  • Publication number: 20210132182
    Abstract: Position information estimation in a distributed radio frequency (RF) communications system is provided. Embodiments disclosed herein facilitate high-precision estimations of positions, orientations, velocities, and acceleration of network nodes in a distributed RF network. The distributed RF communications system incorporates a series of estimation processes which makes it susceptible to propagation of errors. To ensure robustness of the distributed RF communications system, relative positions of network nodes are tracked by iteratively tracking parameters used for estimating position information. Some embodiments take advantage of Kalman filtering algorithms by leveraging principles directed by physics. At every network node, several filtering algorithms can be employed to synchronize clocks, track delay between multiple-input multiple-output (MIMO) antennas and estimate position and orientation of other network nodes.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 6, 2021
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Sharanya Srinivas, Andrew Herschfelt, Daniel W. Bliss