A Cramer–Rao Lower Bound of CSI-Based Indoor Localization

Gui, Linqing; Yang, Mengxia; Yu, Hai; Li, Jun; Shu, Feng; Xiao, Fu

doi:10.1109/tvt.2017.2773635

Cited by 59 publications

(26 citation statements)

References 15 publications

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“…Consider that the positions of the legitimate users can be obtained by some wellknown estimation methods. For instance, the direction angle can be estimated by some classical direction estimation methods such as multiple signal classification (MUSIC) [32,33], and the distance, from the transmitter to the receivers, may be estimated by some typical methods such as channel state information (CSI) based localization method [34], which is available in both indoor and outdoor scenarios with high-distance-resolution. Practically the estimation error and its corresponding error distribution have to be considered in the system, which may increase the complexity of the SPWT algorithm.…”

Section: System Modelmentioning

confidence: 99%

Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

Shen

Liu

Lin

et al. 2020

Preprint

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In this paper, two regional robust secure precise wireless transmission (SPWT) schemes for multi-user unmanned aerial vehicle (UAV): 1)regional signal-to-leakage-and-noise ratio (SLNR) and artificial-noise-to-leakage-and-noise ratio (ANLNR) (R-SLNR-ANLNR) maximization and 2) point SLNR and ANLNR (P-SLNR-ANLNR) maximization, are proposed to tackle with the estimation errors of the target users’ location. In the SPWT system, the estimation error for SPWT cannot be ignored. However the conventional robust methods in secure wireless communications optimize the beamforming vector in the desired positions only in statistical means and cannot guarantee the security for each symbol. The proposed regional robust schemes are designed for optimizing the secrecy performance in the whole error region around the estimated location. Specifically, with the known maximal estimation error, we define the target region and wiretap region. Then design an optimal beamforming vector and an artificial noise projection matrix, which achieve the confidential signal in the target area having the maximal power while only few signal power is conserved in the potential wiretap region. Instead of considering the statistical distributions of the estimated errors into optimization, we optimize the SLNR and ANLNR of the whole target area, which significantly decreases the complexity. Moreover, the proposed schemes can ensure that the desired users are located in the optimized region, which are more practical than the conventional methods. Simulation results show that our proposed regional robust SPWT design is capable of substantially improving the secrecy rate compared to the conventional non-robust method. The P-SLNR-ANLNR maximization-based method has the comparable secrecy performance with lower complexity than that of the R-SLNR-ANLNR maximization-based method.

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Section: System Modelmentioning

confidence: 99%

Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

Shen

Liu

Lin

et al. 2020

Preprint

Self Cite

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“…In that sense, the cooperative positioning (CP) [ 17 , 18 ] becomes an effective measure to improve the localization accuracy by jointly fusing multiple location-related parameters exchanged among a series of VANET nodes. Generally, these location based parameters include maximum movable distance [ 19 ], channel state information (CSI) [ 20 ], received signal strength indicator (RSSI) [ 21 , 22 ], time-of-arrival (TOA), and time-difference-of-arrival (TDOA) [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Angle-Awareness Based Joint Cooperative Positioning and Warning for Intelligent Transportation Systems

Zhi

Yao

2020

Sensors

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In future intelligent vehicle-infrastructure cooperation frameworks, accurate self-positioning is an important prerequisite for better driving environment evaluation (e.g., traffic safety and traffic efficiency). We herein describe a joint cooperative positioning and warning (JCPW) system based on angle information. In this system, we first design the sequential task allocation of cooperative positioning (CP) warning and the related frame format of the positioning packet. With the cooperation of RSUs, multiple groups of the two-dimensional angle-of-departure (AOD) are estimated and then transformed into the vehicle’s positions. Considering the system computational efficiency, a novel AOD estimation algorithm based on a truncated signal subspace is proposed, which can avoid the eigen decomposition and exhaustive spectrum searching; and a distance based weighting strategy is also utilized to fuse multiple independent estimations. Numerical simulations prove that the proposed method can be a better alternative to achieve sub-lane level positioning if considering the accuracy and computational complexity.

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“…Experiments verified that the effective CSI is more stable than RSS, and the localization performance of CSI-based approach outperforms the RSS-based one. As a reference, the Cramer-Rao Lower Bound on CSI-based localization error is derived in [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

A High Accuracy Time-Reversal Based WiFi Indoor Localization Approach with a Single Antenna

Zheng

Chen

2018

Sensors

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In this paper, we study the influence of multipath magnitude, bandwidth, and communication link number on the performance of the existing time-reversal (TR) based fingerprinting localization approach and find that the localization accuracy deteriorates with a limited bandwidth. To improve the localization performance, by exploiting two unique location-specified signatures extracted from Channel State Information (CSI), we propose a high accuracy TR fingerprint localization approach, HATRFLA. Furthermore, we employ a density-based spatial clustering algorithm to minimize the storage space of the fingerprint database by adaptively selecting the optimal number of fingerprints for each location. Experimental results confirm that the proposed approach can efficiently mitigate accuracy deterioration caused by a limited bandwidth and consequently, achieve higher accuracy compared with the existing TR localization approach.

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A Cramer–Rao Lower Bound of CSI-Based Indoor Localization

Cited by 59 publications

References 15 publications

Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

Angle-Awareness Based Joint Cooperative Positioning and Warning for Intelligent Transportation Systems

A High Accuracy Time-Reversal Based WiFi Indoor Localization Approach with a Single Antenna

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