Frequency Dependence of UWB In-Body Radio Channel Characteristics

Andreu, Carlos; Garcia-Pardo, Concepción; Castelló-Palacios, Sergio; Vallés-Lluch, Ana; Cardona, Narcís

doi:10.1109/lmwc.2018.2808427

Cited by 10 publications

(9 citation statements)

References 10 publications

(21 reference statements)

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“…Also, in [18], the analysis of the mean path loss for narrow and ultra-wide band off-body networks in a ferryboat environment is based on LR. Additionally, in [19] linear modelling is used for investigations of the impact of frequency dependence of human tissues on the path loss in ultra-wideband in-body channels in the range from 3.1 to 5.1 GHz. In-body channels are also considered in [20] and [21], where LSM is used to obtain path loss parameters for homogeneous human tissues, such as muscle, brain, fat and skin.…”

Section: Introductionmentioning

confidence: 99%

On the Usefulness of the Generalised Additive Model for Mean Path Loss Estimation in Body Area Networks

et al. 2020

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In this article, the usefulness of the Generalised Additive Model for mean path loss estimation in Body Area Networks is investigated. The research concerns a narrow-band indoor off-body network operating at 2.45 GHz, being based on measurements performed with four different users. The mean path loss is modelled as a sum of four components that depend on path length, antenna orientation angle, absolute difference between transmitting and receiving antenna heights and relative polarisation of both antennas. It is proved that the Generalised Additive Model allows for mean path loss estimation with a higher accuracy in comparison with Linear Regression. The obtained mean error is 0 dB, the root mean square error is 5.52 dB and the adjusted coefficient of determination is 61.2%.

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Section: Introductionmentioning

confidence: 99%

On the Usefulness of the Generalised Additive Model for Mean Path Loss Estimation in Body Area Networks

et al. 2020

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“…Ultrawide band (UWB) technology is based on the transmission of UWB signals, which is contrarily to the narrow band systems . Thanks to its high data rate communication and low power consumption, UWB can be an appropriate choice for the wireless multimedia applications.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, there are many different applications in UWB communications, for instance, medical imaging, indoor positioning, wireless sensor networks, and body communication . UWB impulse radio with short pulses leads to high spatial resolution for indoor positioning.…”

Section: Introductionmentioning

confidence: 99%

Comparison of self‐adaptive dynamic differential evolution and particle swarm optimization for smart antennas in wireless communication

Chiu

Tong

Cheng

2019

Int J Communication

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In this paper, ultrawide band (UWB) communication systems with eight transmitting and receiving ring antenna arrays are implemented to test the bit error rate and capacity performance. By using the ray-tracing technique to compute any given indoor wireless environment, the impulse response of the system can be calculated. The synthesized beamforming problem can be reformulated into a multiobjective optimization problem. Self-adaptive dynamic differential evolution (SADDE) and particle swarm optimization (PSO) are used to find the excitation current and the feed line length of each antenna to form the appropriate beam pattern. This pattern can then reduce the bit error rate and increase the channel capacity and receiving energy. Numerical results show that the fitness value and the convergence speed by the SADDE are better than those by the PSO. Moreover, the SADDE had better results for both line-ofsight and nonline-of-sight cases. In other words, compared with PSO, SADDE has improved more effectively the main beam radiation energy and reduced the multipath interference.

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“…Then, the remainder of the section is devoted to explain the three dierent measurement campaigns carried out at the Universitat Politécnica de Valéncia (UPV) facilities. The rst one was conducted prior to the beginning of this thesis [57] using a homogeneous phantom model and it has been used to perform One-Dimensional (1D) localization. The subsequent two measurement campaigns were performed employing a homogeneous and heterogeneous phantom model, respectively, and used to perform Two-Dimensional (2D) localization.…”

Section: Experimental Laboratory Measurementsmentioning

confidence: 99%

“…As mentioned at the beginning of Section 3.2.2, in order to start developing RF-based localization techniques data from a previously conducted measurements campaign [57] were considered. The in-body antenna presents a quasi-omnidirectional radiation pattern in XZ-plane, as depicted in Figure 3.6(a) and it was designed to be matched to human muscle as shown in Figure 3.6(b) which reports its simulated reection coecient, S 11 , versus its measured one in muscle tissue, prepared according to [66].…”

Section: Homogeneous Phantom-based Campaigns 32221 Setup For 1d Lmentioning

confidence: 99%

Location and Tracking for Ultra-WideBand In-Body Communications in Medical Applications

Barbi¹

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Wireless Capsule Endoscopy (WCE) is a remarkable and attractive technology adopted in the biomedical sector several years ago. It provides a non-invasive wireless imaging technology for the entire gastrointestinal (GI) tract. WCE allows specialists to recognize and diagnose diseases aecting the whole GI tract. Although physicians can receive clear pictures of abnormalities in the GI tract, they have no information about their exact location. Precise localization of the detected disorders is crucial for the subsequent removal procedure by surgery. Currently, the frequency band allocated for capsule endoscopy applications is the MICS band (402-405 MHz). This band oers data rate up to 500 kbps, which is insucient to transmit high quality images. Recently, Ultrawideband (UWB) technology has been attracting attention as potential candidate for next-generation WCE systems. The advantages of UWB include simple

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Frequency Dependence of UWB In-Body Radio Channel Characteristics

Cited by 10 publications

References 10 publications

On the Usefulness of the Generalised Additive Model for Mean Path Loss Estimation in Body Area Networks

On the Usefulness of the Generalised Additive Model for Mean Path Loss Estimation in Body Area Networks

Comparison of self‐adaptive dynamic differential evolution and particle swarm optimization for smart antennas in wireless communication

Location and Tracking for Ultra-WideBand In-Body Communications in Medical Applications

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