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Journal ArticleDOI

Adaptive two-time-scale tracking filter for target acceleration estimation

Stephan A. R. Hepner, +1 more
- 01 May 1991 - 
- Vol. 14, Iss: 3, pp 581-588
TLDR
A new tracking filter is presented that copes with the problems associated with the synthesis of target trackers for air-to-air missiles and is based on the time scale separation inherent in the tracking dynamics.
Abstract
A critical phase during air-to-air interception is the homing phase. It is characterized by a short time to go and low bearing rates on the homing path. The phase is critical because any misconception with respect to the target maneuver may result in a substantial miss distance. This is essentially due to the lack of time to perform path corrections when the target produces a collision course error by an evasive maneuver. The estimation of the target acceleration is therefore crucial to the design of guidance laws that allow a fast response to target maneuvers. There are, however, severe problems associated with the synthesis of target trackers for air-to-air missiles. These problems include the lack of observability, modeling errors, and the restriction of the computation time due to high sampling rates. In this paper, a new tracking filter is presented that copes with the problems just mentioned. It is based on the time scale separation inherent in the tracking dynamics. In conjunction with a simple adaption scheme, this filter is able to track a large class of target maneuvers in a computationally efficient manner.

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Citations
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Journal ArticleDOI

Observability analysis for target maneuver estimation via bearing-only and bearing-rate-only measurements

TL;DR: In this paper, the observability of target maneuvers via bearing-rate-only measurements is discussed and the intercept scenarios that result in the loss of observability are identified, and they play an important role for both the initialization of tracking filters and the design of missile guidance laws based on bearing-( rate-) only measurements.
Journal ArticleDOI

Robust Adaptive Observer Design for Uncertain Systems With Bounded Disturbances

TL;DR: A robust adaptive observer design methodology is presented for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters and non-vanishing disturbances that achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors.
Journal ArticleDOI

Neoclassical Guidance for Homing Missiles

TL;DR: In this article, a new approach to guidance of homing missiles is considered, which utilizes line-of-sight (LOS) rate measurement only, and its performance is superior to PN, in the sense that zero-miss-distance (ZMD) is obtained against highly maneuvering targets.
Journal ArticleDOI

Optimal Guidance and Nonlinear Estimation for Interception of Accelerating Targets

TL;DR: In this article, a nine-state, extended Kalman filter is formulated, in a Cartesian-inertial frame, with a vector differential equation for the thrust acceleration vector of the target during a gravity-turn maneuver.
References
More filters
Book

Stochastic Processes and Filtering Theory

TL;DR: In this paper, a unified treatment of linear and nonlinear filtering theory for engineers is presented, with sufficient emphasis on applications to enable the reader to use the theory for engineering problems.
Book

Applied optimal control

Journal ArticleDOI

Adaptive filtering

TL;DR: Applications of the Kalman filter in orbit determination problems have sometimes encountered a difficulty which has been referred to as divergence; the phenomenon is a growth in the residuals; the state and its estimate diverge.
Journal ArticleDOI

Utilization of modified polar coordinates for bearings-only tracking

TL;DR: In this paper, the authors derived exact state equations for the MP filter without imposing any restrictions on own-ship motion; thus, prediction accuracy inherent in the traditional Cartesian formulation is completely preserved.
Journal ArticleDOI

Kalman Filter Behavior in Bearings-Only Tracking Applications

TL;DR: In this paper, the extended Kalman filter applied to bearings-only target tracking is theoretically analyzed, and closed-form expressions for the state vector and its associated covariance matrix are introduced, and subsequently used to demonstrate how bearing and range estimation errors can interact to cause filter instability.
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