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Robust angle only nine state target state estimator (TSE)

A nine-state, angle technology, applied in the field of improved distance estimation, can solve the problem of limiting the estimation accuracy of the baseline TSE design method

Pending Publication Date: 2021-10-08
BAE SYST INFORMATION & ELECTRONICS SYST INTERGRATION INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the traditional angle-only TSE performance accuracy is numerically determined by the accuracy of these Jacobian terms, limiting the estimation accuracy of the baseline TSE design method

Method used

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  • Robust angle only nine state target state estimator (TSE)
  • Robust angle only nine state target state estimator (TSE)
  • Robust angle only nine state target state estimator (TSE)

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Embodiment Construction

[0032] Kalman filtering, also known as Linear Quadratic Estimation (LQE), is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, and estimates The joint probability distributions of the internal variables produce estimates of the unknown variables that are often more accurate than those based on a single measurement alone. As a general concept, existing knowledge of a state is used at a subsequent time step to predict that step (eg based on a physical model). This step is updated with additional measurement data and there is an output estimate for the current state. This is an iterative process. Essentially, the algorithm works in two steps. In the prediction step, Kalman filtering produces estimates of the current state variables and their uncertainties. Once the results of the next measurement are observed (which are bound to be corrupted by a certain amount of error, including random noise), these estima...

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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.

Description

technical field [0001] The present invention relates to target tracking, and more particularly to providing improved range estimates indirectly using an angle only nine-state target state estimator (TSE) in the presence of target acceleration. Background technique [0002] Angle-only estimation typically requires an additional (active) sensor to provide distance information measurements to improve or achieve the accuracy required for specific TSE system performance. For example, if only EO / IR sensors are used, the RF active seeker (seeker) usually needs to assist the passive EO / IR seeker by providing additional range information to eliminate the weakness of the angle estimation-only scheme. In the present invention, no additional help from any active sensors is required, but the system is capable of producing a very high performance TSE. Despite numerous attempts by other researchers to address the design challenges of angle-only TSEs in the presence of accelerations, their...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/68G01S13/72G01S13/42G01S13/44
CPCF41G7/2293F41G7/228F41G7/2253F41G7/2233F41G7/303G06F17/16F41G7/308
Inventor Q·M·莱姆R·P·卡尔尼M·J·乔伊尼雷
Owner BAE SYST INFORMATION & ELECTRONICS SYST INTERGRATION INC