Multipath Channel Estimation Using Fast Least-Squares Algorithm

Jiang, Xue; Zeng, Wenjun; Cheng, En; Lin, Chen

doi:10.1109/cmc.2011.12

Cited by 7 publications

(1 citation statement)

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“…The CIR is a complex number representing the in-phase and quadrature components of the radio signal and consists of k time shifted impulses

represented by the delta function

. It is defined in Equation ( 2 ), where

and

denote the impulse amplitude and reception time delay [ 27 , 28 ].

…”

Section: Fundamentalsmentioning

confidence: 99%

Lab-Based Evaluation of Device-Free Passive Localization Using Multipath Channel Information

Ninnemann

Schwarzbach

Jung

et al. 2021

Sensors

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The interconnection of devices, driven by the Internet of Things (IoT), enables a broad variety of smart applications and location-based services. The latter is often realized via transponder based approaches, which actively determine device positions within Wireless Sensor Networks (WSN). In addition, interpreting wireless signal measurements also enables the utilization of radar-like passive localization of objects, further enhancing the capabilities of WSN ranging from environmental mapping to multipath detection. For these approaches, the target objects are not required to hold any device nor to actively participate in the localization process. Instead, the signal delays caused by reflections at objects within the propagation environment are used to localize the object. In this work, we used Ultra-Wide Band (UWB) sensors to measure Channel Impulse Responses (CIRs) within a WSN. Determining an object position based on the CIR can be achieved by formulating an elliptical model. Based on this relation, we propose a CIR environmental mapping (CIR-EM) method, which represents a heatmap generation of the propagation environment based on the CIRs taken from radio communication signals. Along with providing imaging capabilities, this method also allows a more robust localization when compared to state-of-the-art methods. This paper provides a proof-of-concept of passive localization solely based on evaluating radio communication signals by conducting measurement campaigns in an anechoic chamber as a best-case environment. Furthermore, shortcomings due to physical layer limitations when using non-dedicated hardware and signals are investigated. Overall, this work lays a foundation for related research and further evaluation in more application-oriented scenarios.

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