Indoor Positioning System With Cellular Network Assistance Based on Received Signal Strength Indication of Beacon

You, Yuan; Wu, Chang

doi:10.1109/access.2019.2963099

Cited by 18 publications

(6 citation statements)

References 22 publications

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“…In Wi-Fi based indoor localization system, received signal strength indicator (RSSI) is used in the localization of fingerprint data. However, the RSSI based poisoning is not accurate and reliable because of multipath component of the wireless signal, blockage by obstacles, and shadow fading [158]. In [159], author proposed a non-RSSI based multi-dimensional clustering for access point optimization to find the indoor positioning.…”

Section: E Indoor Positioning Systemmentioning

confidence: 99%

A Comprehensive Survey of Emergency Communication Network and Management

Debnath

Arif

Roy

et al. 2021

Wireless Pers Commun

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The performance of wireless communication network is important in emergency rescue operations while ensuring optimum usage of limited wireless resources. Due to the disruption of normal wireless communication in a post-disaster scenario, the sustenance of an emergency communication network plays a significant role in relief operations. Under such a scenario, it becomes crucial to monitor the performance and reliability of the protocol in a time-bound manner. Some of the prominent challenges faced by the communication network during this period are related to energy efficiency, resources allocation, reliable connectivity, QoS, network throughput, and interoperability. A comprehensive performance appraisal of the emergency network considering the above-mentioned aspects is extremely important. This review provides a comprehensive survey of the widely used communication technologies applied for setting up an emergency communication network to mitigate the post disaster aftermath. The article also delivers an overview of the integration of new technologies with the existing standards for improving the performance of the disaster communication networks. Finally, we propose some promising solutions to overcome the limitations of existing emergency communication technologies to improve the overall network performance.

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Section: E Indoor Positioning Systemmentioning

confidence: 99%

A Comprehensive Survey of Emergency Communication Network and Management

Debnath

Arif

Roy

et al. 2021

Wireless Pers Commun

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“…According to (7), the error equation can be obtained by the total differential form of (7) and the EP law [19]: ] is the direction cosine of the target relative to obs beacon. The position error noise of obs beacon (the error of GP beacons converted from UP beacons is derived from the subsequent discussion) and the ranging error noise can be acquired in advance.…”

Section: ) Position Error Of Estimated Target Trajectorymentioning

confidence: 99%

“…Due to the high reliability, precision, portability, and low cost of positioning technologies based on wireless signals (e.g. Wi-Fi [5], Ultra-Wide Band (UWB) [6], Bluetooth [7], etc. ), it is widely used in indoor.…”

Section: Introductionmentioning

confidence: 99%

A Novel Simultaneous Calibration and Localization Algorithm Framework for Indoor Scenarios

Deng

Liu

et al. 2020

IEEE Access

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Under the navigational process of simultaneous beacon-calibrating and target-positioning, the real-time positioning and calibrating accuracy in indoor scenarios is significantly limited. To solve it, a novel Simultaneous Calibration and Localization (SCAL) algorithm framework for indoor scenarios is proposed. The proposed framework is mainly divided into the Target Localization and Beacon Calibration (TLBC) and the Global Optimization (GO) section: in the TLBC section, under the typical distributed beacon layout, a processing mechanism for synchronously locating the target and calibrating beacons is proposed; in GO section, parallel to TLBC section, a global optimization method based on Geometric Dilution of Precision based on Error-propagation (EGDOP) model is further proposed, and it can utilize the geometric trajectory of target and positioning error of target and beacons to efficiently and simultaneously optimize the positioning of target trajectory and beacons from TLBC section. The numerical simulation results show that the improvement of the GO section on the positioning performance is verified. Compared with the SCAL algorithm based on backward processing with inverse trajectory, the proposed framework has improved the accuracy of target and beacon positioning by 39.06% and 58.01%, respectively, and accuracy of positioning reaches 0.2557m and 0.2437m, respectively, in an actual indoor positioning scene.

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“…Sound source localization techniques based on microphone arrays and their applications are currently receiving increasing attention in academia [3]. Currently, there are many theories and methods for microphone-array-based sound source localization, which can be broadly classified into the Received Signal Strength (RSS) localization method [4,5], Angle of Arrival (AOA) localization method [6,7], Time of Arrival (TOA) localization method [8,9], Time Difference of Arrival (TDOA) localization methods [10][11][12], Frequency Difference of Arrival (FDOA) [13,14] localization method, Multiple Signal Classification (MUSIC) positioning method [15,16], and many other methods based on beamforming or other advanced methods [2,17,18], etc.…”

Section: Introductionmentioning

confidence: 99%

A Sound Source Localization Method Based on Frequency Divider and Time Difference of Arrival

Zhao

Zhang

et al. 2023

Applied Sciences

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In recent years, sound source localization, as a passive localization technique with higher safety and convenience compared with other localization techniques such as active emission of electromagnetic waves, has received more and more attention in academia. This paper researches and improves the far-field sound source localization algorithm based on the generalized cross-correlation method (GCC) Time Difference of Arrival (TDOA) estimation algorithm and completes the design and implementation of the microphone array sound source localization system. This paper adds a frequency divider to the traditional generalized correlation time delay estimation algorithm for pre-processing, sampling, and localization of sound source acoustic waves and adopts a low-cost microphone array deployment scheme as far as possible to improve the flexibility and practicality of the localization system; at the same time, the “Minimum Sphere Method” is used at the back end of the algorithm to classify the localization coordinates at different frequencies and, finally, output reasonable sound source coordinates. In the back-end of the algorithm, the “Minimum Sphere Method” is used to classify the localization coordinates at different frequencies and, finally, output the reasonable sound source coordinates. The experimental results show that the sound source localization system designed in this paper has good performance in terms of localization accuracy and cost-effectiveness and overcomes the failure of the generalized mutual correlation algorithm in the original application of high noise environment and multi-source environment localization.

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Indoor Positioning System With Cellular Network Assistance Based on Received Signal Strength Indication of Beacon

Cited by 18 publications

References 22 publications

A Comprehensive Survey of Emergency Communication Network and Management

A Comprehensive Survey of Emergency Communication Network and Management

A Novel Simultaneous Calibration and Localization Algorithm Framework for Indoor Scenarios

A Sound Source Localization Method Based on Frequency Divider and Time Difference of Arrival

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