Patents by Inventor Ahmed S. Zaki

Ahmed S. Zaki 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).

  • Patent number: 11340255
    Abstract: A method for reducing bias drift in electrical-mechanical systems sensor such as an accelerometer is provided. The method includes the steps of arranging at least one accelerometer in a chamber and initiating a plurality of temperature cycle sets. Each temperature cycle set has a minimum temperature, a maximum temperature, and a ramp rate. The conditioning method monitors the accelerometers until a bias drift is stabilized within a desired bias drift range. The minimum temperature and the maximum temperature limit a temperature range in which the accelerometer is cycled. Use of temperature limiting can quickly accelerate stabilization of the bias drift while also reducing degradation.
    Type: Grant
    Filed: August 11, 2020
    Date of Patent: May 24, 2022
    Inventors: Christopher C Moll, John G Miskimins, Ahmed S Zaki, William H Slater, Michael J Kroger
  • Patent number: 11268812
    Abstract: A method and system is provided for estimating and compensating for gyro bias in gyro-stabilized systems. The method includes comparing an output of a gyroscope to a reference measurement; estimating a bias of the gyroscope based on the comparison using a Kalman filter; and adjusting a control output of the gyro-stabilized system with the estimated bias to maintain a position of the gyro-stabilized system.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: March 8, 2022
    Inventors: Eric J Zell, David J Bamford, Ahmed S Zaki
  • Patent number: 10025891
    Abstract: The disclosed invention provides a method that exploits the correlations in the statistical properties of one inertial sensor to another. Among the dominant noise sources, the additive noise terms for different sensors are uncorrelated, however, there may be correlations between the random drift of different sensors. The method of the present invention estimates these correlations from a finite amount of calibration data in order to calculate coefficients for the optimal linear combination of multiple sensor signals. The method is a means of combining the multiple sensor outputs to obtain a virtual sensor signal with reduced drift, and in a far more time efficient and less processor intensive way than the prior art.
    Type: Grant
    Filed: September 30, 2015
    Date of Patent: July 17, 2018
    Assignee: The United States of America as represented by the Secretary of the Navy
    Inventors: Ahmed S Zaki, Richard Vaccaro
  • Patent number: 8768647
    Abstract: A high performance solid-state heading sensor for underwater towed arrays is taught that combines high quality MEMS sensor components with data processing filters to resolve performance limitations present in prior art heading sensors. The heading sensor employs rate gyroscopes, accelerometers, magnetometers and a customized Kalman filter formulation implemented on a micro-controller to improve performance in determining the roll, pitch and heading of a towed array.
    Type: Grant
    Filed: September 21, 2011
    Date of Patent: July 1, 2014
    Assignee: The United States of America as represented by the Secretary of the Navy
    Inventors: Ahmed S. Zaki, Timothy B. Straw, Michael J. Obara, Peter A. Child