Fundamental Limits of Wideband Localization— Part II: Cooperative Networks

By Yuan Shen, Henk Wymeersch, Moe Z. Win. IEEE Transactions on Information Theory, 2010

627 citations recorded by the source corpus.

The availability of position information is of great importance in many commercial, governmental, and military applications. Localization is commonly accomplished through the use of radio communication between mobile devices (agents) and fixed infrastructure (anchors). However, precise determination of agent positions is a challenging task, especially in harsh environments due to radio blockage or limited anchor deployment. In these situations, cooperation among agents can significantly improve localization accuracy and reduce localization outage probabilities. A general framework of analyzing the fundamental limits of wideband localization has been developed in Part I of the paper. Here, we build on this framework and establish the fundamental limits of wideband cooperative location-aware networks. Our analysis is based on the waveforms received at the nodes, in conjunction with Fisher information inequality. We provide a geometrical interpretation of equivalent Fisher information (EFI) for cooperative networks. This approach allows us to succinctly derive fundamental performance limits and their scaling behaviors, and to treat anchors and agents in a unified way from the perspective of localization accuracy. Our results yield important insights into how and when cooperation is beneficial.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/573b97292364253d4b23c0109b03ebf461abf7ca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Yonina C. Eldar
2. Fan Liu
3. Christos Masouros
4. Yuan Shen
5. Weijie Yuan
6. Wenhan Dai
7. Moe Z. Win
8. Jie Xu

In Ocean Engineering

1. Yuan Shen
2. Wenhan Dai
3. Moe Z. Win

Citations in the corpus

• The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, positive): “As for the theoretical basis, the fundamental limits of localization accuracy in cooperative networks have been derived in [162] and [163], where the structure of EFIM is revealed to characterize the information gain brought by UE cooperation.”
• On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels (2022, methodology): “Since we are only interested in the angle θ, we consider its equivalent BFIM (by treating α as a nuisance parameter) given by [45]”
• Fundamental Limits of Wideband Localization— Part I: A General Framework (2010, background): “owever, a NLOS induced range bias can be as much as a few kilometers depending on the propagation environment [48], [55], and small perturbation may not compensate for NLOS induced error. 4In Part II [63], we extend our analysis to cooperative location-aware networks. SHEN AND WIN: FUNDAMENTAL LIMIT”
• Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “MIMO radar with widely separated antennas) [15], [165], [166].”
• A Theoretical Foundation of Network Localization and Navigation (2018, methodology): “Therefore, in highly asymmetric networks such as cellular networks where the power levels of signals sent by anchors are much higher than those of the agents, the RII λ1j λj1 and thus the ranging accuracy through roundtrip TOA is limited by the capability of the agents.”
• FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing (2020, background): “Representative works include [24, 25, 26, 27, 28, 29], to mention a few.”