JOURNAL ARTICLE

Tracking maneuvering targets using H/sub ∞/ filters

Abstract

Develops, tests and evaluates H/sub /spl infin// algorithms for tracking maneuvering targets as an alternative to traditional approaches based on Kalman filter extensions and modifications. A crucial property of H/sub /spl infin// filters is an automatic increase of the filter bandwidth. The authors further explore this property versus appropriate artificial increases of the bandwidth of a Kalman filter and the H/sub /spl infin// filter itself. H/sub /spl infin// and Kalman filters are compared for RMSE performance as well as performance robustness to different maneuvering trajectories. Simulation results are presented showing the performance and robustness of the two filters for different maneuvering trajectories, data rates and bandwidth adjustments.

Keywords:
Robustness (evolution) Kalman filter Control theory (sociology) Bandwidth (computing) Computer science Extended Kalman filter Engineering Artificial intelligence Telecommunications

Metrics

6
Cited By
0.77
FWCI (Field Weighted Citation Impact)
18
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
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