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Target Localization using Bistatic and Multistatic Radar with 5G NR Waveform

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TLDR
In this article, the authors derived the geometric dilution of precision of a bistatic radar configuration, a theoretical metric that characterizes how the target location estimation error varies as a function of the Bistatic geometry and measurement errors.
Abstract
Joint communication and sensing allows the utilization of common spectral resources for communication and localization, reducing the cost of deployment. By using fifth generation (5G) New Radio (NR) (i.e., the 3rd Generation Partnership Project Radio Access Network for 5G) reference signals, conventionally used for communication, this paper shows sub-meter precision localization is possible at millimeter wave frequencies. We derive the geometric dilution of precision of a bistatic radar configuration, a theoretical metric that characterizes how the target location estimation error varies as a function of the bistatic geometry and measurement errors. We develop a 5G NR compliant software test bench to characterize the measurement errors when estimating the time difference of arrival and angle of arrival with 5G NR waveforms. The test bench is further utilized to demonstrate the accuracy of target localization and velocity estimation in several indoor and outdoor bistatic and multistatic configurations and to show that on average, the bistatic configuration can achieve a location accuracy of 10.0 cm over a bistatic range of 25 m, which can be further improved by deploying a multistatic radar configuration.

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Citations
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Joint Radar-Communication Systems: Modulation Schemes and System Design

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5G Network-Based Passive Radar

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A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

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A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

TL;DR: In this article, the authors proposed a low-complexity SLAM filter based on the Poisson multi-Bernoulli mixture (PMBM) filter, which utilizes the extended Kalman (EK) first-order Taylor series based Gaussian approximation of the filtering distribution.
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Distributed Reconfigurable Intelligent Surfaces for Energy-Efficient Indoor Terahertz Wireless Communications

TL;DR: In this article , a distributed RISs framework is proposed to assist the indoor terahertz (THz) wireless communication to achieve overall energy efficiency, which is based on a review of the fundamental mechanisms of reconfigurable intelligent surface (RIS)-assisted wireless communications, utilizing the 3-D ray tracing method to analyze a realistic indoor THz propagation environment with the existence of human blockers.
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TL;DR: A novel scheme for joint target search and communication channel estimation, which relies on omni-directional pilot signals generated by the HAD structure, is proposed, which is possible to recover the target echoes and mitigate the resulting interference to the UE signals, even when the radar and communication signals share the same signal-to-noise ratio (SNR).
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Challenges: device-free passive localization for wireless environments

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