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Activity Number: 77
Type: Contributed
Date/Time: Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #311051 View Presentation
Title: Novel Switch Detection Algorithm in Logic-Based Guidance
Author(s): Vladimir Turetsky*+ and Josef Shinar and Alexander Goldenshluger
Companies: Ort Braude College and Technion - Israel Institute of Technology and Haifa University
Keywords: guidance ; random switch ; statistical hypothesis test ; switch detection ; convex optimization

Intercepting a maneuvering target is a challenging problem for a guidance law designer. Recently, a logic-based guidance algorithm (LBA) was developed, assuming that the target performs a randomly switched bang-bang maneuver. The differential game based guidance law, incorporated in the LBA, guarantees hit-to-kill accuracy, assuming perfect information. Since the only direct information, available to the interceptor, is the noisy line-of-sight angle measurements, all state variables should be estimated. In the LBA, the estimators are tuned assuming knowledge of the target switch moments. Thus, the detection of the switch moment becomes the crucial component of the LBA, significantly affecting the interceptor's homing performance. In this presentation, a novel switch detection algorithm, based on a sequentially tested hypothesis, is proposed. The test procedure is derived from an auxiliary convex optimization problem. Algorithm efficiency is demonstrated by examples of numerical simulation.

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