Overview of ultra-wideband transceivers—system architectures and applications

Wang, Bowen; Song, Haixin; Rhee, Woogeun; Wang, Zhihua

doi:10.26599/tst.2021.9010044

Cited by 22 publications

(14 citation statements)

References 26 publications

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“…For the n th receiving antenna, its received signal can be mathematically deduced from (9) and (10) as follows:

y_{n} ((), t) goodbreak= b_{n} ({}, \sum_{m = 1}^{N_{t}} R_{A} ((),, h_{italicnm}, h_{italicnm})) \otimes p ((), t) goodbreak+ \sum_{n^{'} = 1, n^{'} \neq n}^{N_{r}} {\overset{true¯}{b}}_{n^{'}} ({}, \sum_{m = 1}^{N_{t}} R_{C} ((),, h_{italicnm}, h_{n^{'} m})) \otimes p ((), t) goodbreak+ n ((), t)

…”

Section: Principle and System Modelmentioning

confidence: 99%

“…[2][3][4] Multiple input multiple output (MIMO) technology and ultra-wide band (UWB) system are two possible solutions because of their advantages of large capacity. [5][6][7][8][9][10][11][12] In the MIMO systems, beamforming is a widely accepted technique that utilizes multiple antennas to form a fan beam. [13][14][15][16] However, the beamforming scheme may not work appropriately in the spacecraft cabins with richscattering environments because the line-of-sight (LOS) link may be blocked by impenetrable objects or distorted by the metal walls.…”

Section: Introductionmentioning

confidence: 99%

“…Multiple input multiple output (MIMO) technology and ultra‐wide band (UWB) system are two possible solutions because of their advantages of large capacity 5–12 . In the MIMO systems, beamforming is a widely accepted technique that utilizes multiple antennas to form a fan beam 13–16 .…”

Section: Introductionmentioning

confidence: 99%

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Point focusing wireless communication: A diffraction limit communication paradigm

Yang

Zhao

Wang

2022

Int J RF Mic Comp-Aid Eng

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A wireless communication scheme named point focusing (PF) wireless communication is proposed for intra-spacecraft wireless transmission. In this scheme, a set of point focusing fields (PFFs) generated by the time reversal (TR) based field shaping method are employed to carry the binary bits. Based on the orthogonality of the non-overlapped focal points of the PFFs, the same spectrum can be spatially reused. The point-to-point spacing between PFFs is half a wavelength, that is, a distance at Rayleigh diffraction limit, which can maximize the spectrum reutilization efficiency in a bounded spatial region. A closed metal cavity is employed to numerically and experimentally demonstrate the performance of the PFFs based wireless communications.

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“…For the n th receiving antenna, its received signal can be mathematically deduced from (9) and (10) as follows:

y_{n} ((), t) goodbreak= b_{n} ({}, \sum_{m = 1}^{N_{t}} R_{A} ((),, h_{italicnm}, h_{italicnm})) \otimes p ((), t) goodbreak+ \sum_{n^{'} = 1, n^{'} \neq n}^{N_{r}} {\overset{true¯}{b}}_{n^{'}} ({}, \sum_{m = 1}^{N_{t}} R_{C} ((),, h_{italicnm}, h_{n^{'} m})) \otimes p ((), t) goodbreak+ n ((), t)

…”

Section: Principle and System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Point focusing wireless communication: A diffraction limit communication paradigm

Yang

Zhao

Wang

2022

Int J RF Mic Comp-Aid Eng

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“…The Federal Communications Commission (FCC) defines a very wide frequency band (3.1 GHz -10 GHz) for UWB (Ultra-Wideband) systems and a signal bandwidth greater than or equal to 500 MHz. UWB wireless systems are characterized by their high bandwidth, high bit rate, high energy efficiency, and their very low nominal transmission power for short-distance applications [1][2][3]. Due to this type of application, UWB systems suffer from multipath fading, which is solved by incorporating multiple input multiple output (MIMO) technology.…”

Section: Introductionmentioning

confidence: 99%

“…Due to this type of application, UWB systems suffer from multipath fading, which is solved by incorporating multiple input multiple output (MIMO) technology. Likewise, extremely wideband indoor transmission causes interference with other narrowband technologies if the power spectral density of the UWB signal exceeds -41.3 dBm [3,4]. With the implementation of MIMO technology, multipath propagation is confronted thanks to the simultaneous operation of several transmitting and receiving antennas, giving the system high data transmission, allowing multiple users to access several services at the same time [5].…”

Section: Introductionmentioning

confidence: 99%

A Compact MIMO Antenna for UWB Applications

Hernández-Serrano

Leija-Hernández

Iturri-Hinojosa

2022

IJECER

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A 2x1 compact UWB-MIMO antenna with two -10 dB impedance bandwidths of 2.6 GHz and 8.85 GHz is presented. The MIMO antenna dimension is 5.3 cm ´ 3.8 cm and is composed by two symmetrical rectangular patches, each one with a resonance frequency at 4 GHz. An EBG structure is introduced between the elements to increase de isolation and improve the MIMO antenna performance. The transmission coefficient of the MIMO antenna with EBG structure reaches a minimum of -28.9 dB at 8.18 GHz, and its maximum is -16.1 dB at 9.9 GHz. The impedance bandwidth is 5.9 GHz, and the maximum gain of the proposed antenna is 6 dBi.

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Wi‐Fi fingerprint‐based indoor location: Multiple fingerprints and multiple classifiers with two‐layer fusion weights

Liu,

Gao

et al. 2024

Int J Communication

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SummaryIndoor location based on Wi‐Fi fingerprint has attracted extensive attention recently, since it only requires a mobile device and existing network; it does not require additional infrastructure and hardware. However, localization using only received signal strength fingerprint is susceptible to dynamic environments and device heterogeneity. Localization using signal strength differences fingerprint and hyperbolic location fingerprint which extracted from received signal strength fingerprint is a powerful measure to overcome the device heterogeneity. Existing fusion‐based methods do not fully use of the mutual fusion function of multiple fingerprints, which leads to low positioning accuracy. In order to further improve the positioning accuracy, we propose a multifingerprint multiclassifier and two‐layer fusion weight positioning model. The proposed approach first creates a multiple fingerprints group by gleaning signal strength differences fingerprint and hyperbolic location fingerprint from received signal strength fingerprint. In order to deal with the accuracy decline caused by a single classifier in complex scenes, three typical classifiers, random forest (RF), K‐nearest neighbor (KNN), and support vector machine (SVM), are adopted, and a fusion weight selection algorithm is proposed to improve the localization accuracy by choosing fusion weights intelligently from the two‐layer fusion weights. Experiment results show that the proposed scheme is effective to resolve device heterogeneity, and the position accuracy is improved about 16.9% and 5.8%, respectively, compared with single fingerprint and classifier schemes. The results show that, compared with the single fingerprint scheme, the position accuracy is improved at least 16.9% and 28.4% for the homogeneous and heterogeneous equipments, respectively; as for the proposed multiclassifier fusion method, it achieves at least 5.8% and 8.7% accuracy improvement for the cases with homogeneous and heterogeneous equipments, respectively, compared with other traditional classifiers such as RF, KNN, and SVM.

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Overview of ultra-wideband transceivers—system architectures and applications

Cited by 22 publications

References 26 publications

Point focusing wireless communication: A diffraction limit communication paradigm

Point focusing wireless communication: A diffraction limit communication paradigm

A Compact MIMO Antenna for UWB Applications

Wi‐Fi fingerprint‐based indoor location: Multiple fingerprints and multiple classifiers with two‐layer fusion weights

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