JOURNAL ARTICLE

A novel H-infinity filtering for road constrained target tracking

Abstract

This paper is concerned with the H filtering for road constrained target tracking problem. The additional information of road can improve the estimation accuracy when it is properly incorporated into the estimation process. In this paper, two constrained H filtering methods considering the road constraints as prior information are proposed. The new approaches achieve not only higher accuracy, but also robustness against model uncertainty. Two simulation examples are present to illustrate the performance of the proposed approaches.

Keywords:
Robustness (evolution) Computer science Process (computing) Tracking (education) Algorithm Data mining Artificial intelligence

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FWCI (Field Weighted Citation Impact)
8
Refs
0.31
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Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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Efficient particle filtering for road-constrained target tracking

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