Position Error Bound for Cooperative Sensing in MIMO-OFDM Networks
Lorenzo Pucci, Andrea Giorgetti

TL;DR
This paper establishes a theoretical framework for understanding the limits of target localization accuracy in cooperative MIMO-OFDM networks, highlighting how cooperation and system parameters influence performance.
Contribution
It introduces a general Fisher information-based framework to evaluate position error bounds in cooperative MIMO-OFDM sensing networks with arbitrary configurations.
Findings
Cooperation among base stations improves localization accuracy.
System parameters significantly affect positioning performance.
The framework aids in designing efficient joint sensing and communication networks.
Abstract
Only the chairs can edit This paper investigates the fundamental limits of target position estimation accuracy of joint sensing and communication (JSC) networks comprising several monostatic base stations (BSs) that cooperate to localize targets. Specifically, each BS adopts a multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) scheme with a multi-beam radiation pattern to partition power between communication and sensing tasks. Building on prior works, we derive a general framework to evaluate the positioning accuracy of a target in networks with an arbitrary number of cooperating BSs and arbitrary geometrical configurations using Fisher information. Numerical results demonstrate the benefits of cooperation between BSs in improving target localization accuracy and provide insights into the relationships between various system parameters, which may…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Distributed Sensor Networks and Detection Algorithms · Energy Efficient Wireless Sensor Networks
MethodsBalanced Selection
