scholarly journals Achievable localization accuracy of the positioning reference signal of 3GPP LTE

2012 ◽  
Author(s):  
Jose A. del Peral-Rosado ◽  
Jose A. Lopez-Salcedo ◽  
Gonzalo Seco-Granados ◽  
Francesca Zanier ◽  
Massimo Crisci
Keyword(s):  
Reference Signal ◽  
Localization Accuracy ◽  
3Gpp Lte

scholarly journals Eficiencia de sistemas multiantena MU–MIMO por simulaciones de radiopropagación

2017 ◽  
Vol 11 (1) ◽  
pp. 55-62
Author(s):  
Javier Enrique Arévalo Peña
Keyword(s):  
Reference Signal ◽  
Long Term Evolution ◽  
Signal To Noise ◽  
3Gpp Lte ◽  
Term Evolution ◽  
Received Power ◽  
La Red

El presente artículo tiene como propósito realizar la descripción de los resultados de simulación de radiopropagación con una antena MU{MIMO (4x4) en una red LTE (del inglés Long Term Evolution), con el fin de establecer su eciencia respecto a una antena estándar. En esta vía, se emplea la herramienta de diseño de redes inalámbricas ICS Designer en la cartografía digital de alta resolución en un escenario urbano de la ciudad de Bogotá D.C., Colombia. Se utiliza el modelo 3GPP LTE en la simulación de la red LTE y se analizan los parametros RSRP (del inglés, Reference Signal Received Power), RSRQ (del inglés, Reference Signal Recieved Quality), SNIR (del inglés, Signal to Noise and Interference Ratio) rendimiento (Throughput) y QCI (del inglés, QoS Class Identier). Se evidencian, como consecuencia de los resultados, ventajas de las antenas MU-MIMO.

Accelerating the 3GPP LTE System Level Simulation with NVidia CUDA

2011 ◽  
Vol 58-60 ◽  
pp. 1596-1601 ◽  
Author(s):  
Yuan Gao ◽  
Yin Sun ◽  
Chun Hui Zhou ◽  
Xin Su ◽  
Xi Bin Xu ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Communication Systems ◽  
Reference Signal ◽  
System Level ◽  
Signal Design ◽  
Actual Performance ◽  
3Gpp Lte ◽  
System Level Simulation ◽  
Lte Advanced

With the rapid progress of standardization of 3GPP’s LTE (Long Term Evolution) and LTE-Advanced, many research attentions have been focused on the link level evaluations of the 3GPP LTE systems, so as to demonstrate the rationality of novel transmission techniques. Different from theoretical studies, incorporating novel transmission techniques in to the LTE communication systems may affect many parts of the systems, such as signaling process, reference signal design, feedback link design, and compatibility, etc. Link level studies might be too simple to evaluate the benefits of these novel techniques to the entire system. On the other hand, system level simulation concentrates on the performance of the entire network with tens of cells and hundreds to thousands of users. It is possible to illustrate the actual performance of a LTE system by simulations designed from a system standpoint. Since the simulated system is quite large, one can understand the speed of simulation is very important for system level simulation platform. In this paper, we propose a design of Matlab-based 3GPP LTE system level simulator, which makes use of parallel computing techniques supported by NVidia GeForce GTX 260 graphic card. Our simulation experience shows that the simulation time reduces by nearly 1/3 after employing parallel computing techniques.

Reference Signal Transmission Schemes for Coordinated Multi-Point Transmission for 3GPP LTE-Advanced

2011 ◽  
Vol E94.B (12) ◽  
pp. 3346-3353
Author(s):  
Masayuki HOSHINO ◽  
Tadashi YOSHIDA ◽  
Daichi IMAMURA
Keyword(s):  
Signal Transmission ◽  
Reference Signal ◽  
3Gpp Lte ◽  
Lte Advanced

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG

2017 ◽  
Vol E100.A (11) ◽  
pp. 2230-2237
Author(s):  
Akitoshi ITAI ◽  
Arao FUNASE ◽  
Andrzej CICHOCKI ◽  
Hiroshi YASUKAWA
Keyword(s):  
Tensor Product ◽  
Reference Signal

Detection Capability of Downlink Signals in Mobile WiMAX and 3GPP LTE with an FFT-Based UWB Receiver

2013 ◽  
Vol E96.A (1) ◽  
pp. 285-292 ◽  
Author(s):  
Kenichi TAKIZAWA ◽  
Hirotaka YAMANE ◽  
Huan-Bang LI ◽  
Feng LU ◽  
Kohei OHNO ◽  
...  
Keyword(s):  
Mobile Wimax ◽  
Detection Capability ◽  
3Gpp Lte ◽  
Uwb Receiver

Active control of compressor noise in the machinery room of refrigerators

2019 ◽  
Vol 67 (5) ◽  
pp. 350-362
Author(s):  
J. M. Ku ◽  
W. B. Jeong ◽  
C. Hong
Keyword(s):  
Control System ◽  
Active Control ◽  
Weighting Function ◽  
Reference Signal ◽  
Active Noise Control ◽  
Dominant Frequency ◽  
Time Signal ◽  
Frequency Noise ◽  
Sound Power ◽  
Fxlms Algorithm

The low-frequency noise generated by the vibration of the compressor in the machinery room of refrigerators is considered as annoying sound. Active noise control is used to reduce this noise without any change in the design of the compressor in the machinery room. In configuring the control system, various signals are measured and analyzed to select the reference signal that best represents the compressor noise. As the space inside the machinery room is small, the size of a speaker is limited, and the magnitude of the controller transfer function is designed to be small at low frequencies, the controller uses FIR filter structure converged by the FxLMS algorithm using the pre-measured time signal. To manage the convergence speed for each frequency, the frequency-weighting function is applied to FxLMS algorithm. A series of measurements are performed to design the controller and to evaluate the control performance. After the control, the sound power transmitted by the refrigerator is reduced by 9 dB at the first dominant frequency (408 Hz in this case) and 3 dB at the second dominant frequency (459 Hz here), and the overall sound power decreases by 2.6 dB. Through this study, an active control system for the noise generated by refrigerator compressors is established.

Implementation of a single-channel active noise control system with multiple reference sensors

2020 ◽  
Vol 68 (5) ◽  
pp. 358-366
Author(s):  
H.E. Oh ◽  
W.B. Jeong ◽  
C. Hong
Keyword(s):  
Single Channel ◽  
Control Method ◽  
Reference Signal ◽  
Active Noise Control ◽  
Multiple Source ◽  
Weighted Sum ◽  
Reference Signals ◽  
Feedforward Controller ◽  
Channel Control ◽  
Source Signals

When multiple sources contribute competitively to the noise level, multi-channel control architecture is needed, leading to more cost and time for control computation. We, hence, are concerned with a single-channel control method with a single-reference signal obtained from a linear combination of the multiple source signals. First, we selected 3 source signal sensors for the reference signals and the error sensor, selected a proper actuator and designed the controllers: 3 cases of single-channel feedforward controllers with a single-reference signal respectively from the source signals, a multi-channel feedforward controller with the reference signals from the source signals, and the proposed controller with the reference signal from weighted sum of the source signals. The weighting factors and the filter coefficients of the controller were determined by the FxLMS algorithm. An experiment was then performed to confirm the effectiveness of the proposed method comparing the control performance with other methods for a tower air conditioner. The overall sound pressure level (SPL) detected by the error sensor is compared to evaluate their performance. The reduction in the overall SPL was obtained by 4.74 dB, 1.96 dB and 6.62 dB, respectively, when using each of the 3 reference signals. Also, the overall SPL was reduced by 7.12 dB when using the multi-reference controller and by 7.66 dB when using the proposed controller. Conclusively, under the multiple source contribution, a single-channel feed forward controller with the reference signal from a weighted sum of the source signals works well with lower cost than multi-channel feedforward controller.

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