Objectives

To provide to the participants the latest state-of-the art techniques to estimate the states of multiple targets with multisensor information fusion. In particular, low observable targets will be considered.Tools for algorithm selection, design and evaluation will be presented. These form the basis of automated decision systems for advanced surveillance and targeting. Tracking in the presence of electronic countermeasures is also illustrated together with radar management. A number of real data applications are provided.

Eligibility

Engineers/scientists with prior knowledge of basic probability and state estimation. This is an intensive course in order to cover several important recent advances.

OUTLINE

Review of the Basic Techniques for Tracking

• The Kalman, the Alpha-Beta(-Gamma) and the Extended Kalman filters: their capabilities and limitations

• Debiased consistent measurement conversion from polar to Cartesian that allows the use of optimal linear filters in practical problems (implemented in the E2-C upgrade; applicable to long-range AEW radars).

• The Interacting Multiple Model (IMM) estimation algorithm for real-time implementation.

Agile beam radar allocation

• The NSWC Benchmark Problem I for high-g targets. Adaptive revisit time for minimum radar energy with the IMM.

• Tracking in Clutter: The Probabilistic Data Association filter (PDAF).

• The NSWC Benchmark Problem II for high-g targets in the presence of RGPO and jamming. Radar management (detection threshold, waveform, and revisit time selection, target RCS and jammer power estimation) and tracking with the IMMPDAF.The real-time experiment with an Aegis SPY-1 and F-14s at Wallops.

Air Traffic Control Tracking

• Example of multisensor track formation and maintenance on real data (60 targets) from two FAA/JSS radars. Fusion of primary and secondary radar data.

• IMM vs. KF on real data (800 targets, from 5 FAA/JSS radars). How to evaluate estimation improvement without knowing the ground truth. Why multisensor tracking is cheaper computationally than single sensor tracking.

Large-Scale Tracking of Ground Targets

• The Variable Structure IMM (VS-IMM) with topographic information for precision tracking of ground targets with airborne GMTI radars. GEOP (Geometric enhancement of precision) from multiple radars.

Acquisition of LO Targets

• Track formation for low SNR targets. The CRLB in the presence of false measurements.The limit of extractable track information from cluttered data.

• Acquisition of a 4 dB SNR TBM target with an ESA radar.

The course is based on the book Multitarget-Multisensor Tracking: Principles & Techniques by Y. Bar-Shalom and X.R. Li (615 p., YBS Publishing, 1995). A copy of this text ($150 value) and additional notes will be given to each participant.

Important note:The number of participants for this short course is limited. Don't miss this unique opportunity to attend this intensive short course in Europe.

Registration fees

- For attendees registered at Fusion 2000: 2345 FF (350 USD)

- For attendees not registered at Fusion 2000: 2680 FF (400 USD)

Last Updated: October 2, 2000
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