公开(公告)号：US20200271421A1

公开(公告)日：2020-08-27

申请号：US16285746

申请日：2019-02-26

Applicant: BAE SYSTEMS Information and Electronic Systems Integration Inc.

Inventor： Quang M. LAM ,  Ryan P. CARNEY ,  Michael J. CHOINIERE

IPC: F41G7/30 ,  G06F17/16

Abstract: The present system estimates target motion with nonzero acceleration (including maneuvering uncertainty) using angle only (AO) measurements. The present approach employs a mixed coordinate system framework by combining modified spherical coordinate (MSC) system and Reference Cartesian Coordinate (RCC) system to keep accurate information flowing from one frame to the other while eliminating the numerical sensitivity of the angle measurements to the TSE vector. This integrated coordinate systems framework is achieved due to the state vector information of two frames (RCC and MSC) is effectively preserved between processing cycles and state vector transformation steps. The AO TSE architecture and processing schemes are applicable to a wide class of passive sensors. The mixed coordinate system provides robust real-time slant range estimation in a bootstrap fashion, thus turning passive AO measurements into equivalent active sensor measurements with built-in recursive range information but with greatly improved TSE accuracy.

公开(公告)号：US20200292692A1

公开(公告)日：2020-09-17

申请号：US16299474

申请日：2019-03-12

Applicant: BAE SYSTEMS Information and Electronic Systems Integration Inc.

Inventor： Quang M. LAM ,  Ryan P. CARNEY ,  Ned B. THAMMAKHOUNE

IPC: G01S13/72 ,  G06K9/62 ,  F41H7/02

Abstract: A modified GNN/DA subsystem processes angle only measurements from at least two sensors (but can be replicated to n sensors using a similar track fusion framework per sensor as a local track center and then fusing them via a multiple local track fusion architecture) to reconstruct a complete battle space picture consisting of multiple moving targets. In some cases, the sensor is an EO/IR camera and the moving targets are UAVs. The modified GNN/DA is used as part of a Fire Control Solution (FCS) either implemented on a ground-based vehicle or on-board a projectile.

公开(公告)号：US20200124714A1

公开(公告)日：2020-04-23

申请号：US16163698

申请日：2018-10-18

Applicant: BAE SYSTEMS Information and Electronic Systems Integration Inc.

Inventor： Quang M. LAM ,  Ryan P. CARNEY

IPC: G01S13/58 ,  G01S13/44 ,  G01L5/14

Abstract: Poor BSE estimation accuracy resulting from conventional Extended Kalman Filtering (EKF) approaches using RF OI sensors mounted on the ground as a remote bullet tracking sensor motivated the design and development of the present disclosure. The observer based BSE removes EKF process noise (state noise) and measurement noise (OI sensor noise) covariance matrices selection and tuning which have been long recognized by the estimation community as a time consuming process during the design stage; requires no consideration of interactions when having the control input signal as part of the state propagation equation; and provides a significant improvement in velocity estimation accuracy, in some cases to less than 1 m/s errors in all axes, thereby meeting the miss distance requirement with amble margin.