Target tracking using robust sensor motion control

We consider the problem of tracking moving targets using mobile wireless sensors (of possibly different types). This is a joint estimation and control problem in which a tracking system must take into account both target and sensor dynamics. We make minimal assumptions about the target dynamics, namely only that their accelerations are bounded. We develop a control law that determines the sensor motion control signals so as to maximize target resolvability as the target dynamics evolve. The method is given a tractable formulation that is amenable to an efficient search method and is evaluated in a series of experiments involving both round-trip time based ranging and Doppler frequency shift measurements. • A unified tracking-control framework for heterogeneous mobile sensors. • The control law improves target resolvability under bounded acceleration. • Sensor control accounts for target uncertainty over a receding horizon. • A tractable formulation enables efficient solution with first-order methods.

Authors

Institutions

Publication Details

Journal
Signal Processing
Published
2025-10-17
DOI
https://doi.org/10.1016/j.sigpro.2025.110341
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Target tracking using robust sensor motion control

Jingwei Hu, Petre Stoica, Dave Zachariah
Signal Processing
Target Tracking and Data Fusion in Sensor Networks
article

Target tracking using robust sensor motion control

Jingwei Hu, Petre Stoica, Dave Zachariah
article en

Abstract

We consider the problem of tracking moving targets using mobile wireless sensors (of possibly different types). This is a joint estimation and control problem in which a tracking system must take into account both target and sensor dynamics. We make minimal assumptions about the target dynamics, namely only that their accelerations are bounded. We develop a control law that determines the sensor motion control signals so as to maximize target resolvability as the target dynamics evolve. The method is given a tractable formulation that is amenable to an efficient search method and is evaluated in a series of experiments involving both round-trip time based ranging and Doppler frequency shift measurements. • A unified tracking-control framework for heterogeneous mobile sensors. • The control law improves target resolvability under bounded acceleration. • Sensor control accounts for target uncertainty over a receding horizon. • A tractable formulation enables efficient solution with first-order methods.

Signal ProcessingVol. 240
Uppsala University (SE)
Openalex Percentile: Top 85%
Target Tracking and Data Fusion in Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.