Resource Optimization Using A Step-by-step Scheme in Wireless Sensing and Localization Networks
Ruihang Zhang, Jiayan Yang, Mu Jia, Tingting Zhang

TL;DR
This paper proposes resource optimization schemes for integrated sensing and localization networks using UWB signals, deriving Fisher Information Matrix expressions and demonstrating their effectiveness through numerical results.
Contribution
It introduces step-by-step and integrated resource optimization schemes for multi-slot ISAL networks, with analytical derivations and practical insights.
Findings
Energy allocation follows specific hierarchical relationships in resource-deficient networks.
More energy is allocated to sensing-deficient time slots in multi-slot networks.
Step-by-step scheme suits resource-abundant networks; integrated scheme fits resource-deficient networks.
Abstract
Due to the lack of wireless spectrum resources, people are focusing on the versatile wireless networks. Wireless localization and target sensing both rely on precise extraction of parameters such as signal amplitude, propagation delay and Doppler shift from the received signals. Due to the high multi-path resolution and strong penetration of UWB signals, both localization and sensing can be achieved through the same UWB waveform. Practical networks are often resource-constrained, in order to improve the accuracy of integrated networks, we need to optimize the allocation of resources in the networks. Considering the complexity of the multi-slot networks, this paper derives the Fisher Information Matrix (FIM) expressions for single-slot and dual-slot integrated sensing and localization (ISAL) networks respectively, and proposes two resource optimization schemes, namely step-by-step scheme…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Microwave Imaging and Scattering Analysis · Radar Systems and Signal Processing
