The incidence of impaired balance control and falls increases with age and disease and has a significant impact on daily life. Detection of early-stage balance impairments is difficult as many intertwined mechanisms c...
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The incidence of impaired balance control and falls increases with age and disease and has a significant impact on daily life. Detection of early-stage balance impairments is difficult as many intertwined mechanisms contribute to balance control. Current clinical balance tests are unable to quantify these underlying mechanisms, and it is therefore difficult to provide targeted interventions to prevent falling. System identification techniques in combination with external disturbances may provide a way to detect impairments of the underlying mechanisms. This is especially challenging when studying multi joint coordination, i.e. the contribution of both the ankles and hips to balance control. With model simulations we compared various existing non-parametric and parametric system identification techniques in combination with external disturbances and evaluated their performance. All methods are considered multi-segmental (both the ankles and the hips contribute to maintaining balance) closed-loop balance control. Validation of the techniques was based on the prediction of time series and frequency domain data. Parametric system identification could not be applied in a straightforward manner in human balance control due to assumed model structure and biological noise in the system. Although the time series were estimated reliably, the dynamics in the frequency domain were not correctly estimated. Non-parametric system identification techniques did estimate the underlying dynamics of balance control reliably in both time and frequency domain. The choice of the external disturbance signal is a trade-off between frequency resolution and measurement time and thus depends on the specific research question and the studied population. With this overview of the applicability as well as the (dis)advantages of the various system identification techniques, we can work toward the application of system identification techniques in a clinical setting. (C) 2016 International Federati
We describe the design and characterization of a heterogeneous 36-core, three-mode fiber with three core types. Intercore crosstalk for LP11 modes is estimated to be below-31 dB for 5.5 km propagation at a core pitch ...
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We describe the design and characterization of a heterogeneous 36-core, three-mode fiber with three core types. Intercore crosstalk for LP11 modes is estimated to be below-31 dB for 5.5 km propagation at a core pitch of 34 mu m. Feasibility of 108 space/mode division multiplexed transmission is investigated using free-space multiplexing/demultiplexing technologies, 40-wavelength division multiplexed, 25 GBd, 93.4-Gb/s dual-polarization QPSK signals, and coherent detection with a sparse 6 x 6 MIMO equalizer. The total transmission capacity amount to 403.7 Tb/s.
Blind techniques and algorithms for multiple-input multiple-output (MIMO) signals interception have recently attracted a great deal of research efforts. This is due to their important applications in the military and ...
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Blind techniques and algorithms for multiple-input multiple-output (MIMO) signals interception have recently attracted a great deal of research efforts. This is due to their important applications in the military and civil telecommunications domains. One essential step in the signal interception process is to blindly recognize the modulation scheme of the MIMO signals. This process is formally called Modulation Classification (MC). This paper discusses the modulation classification for MIMO systems and presents a comprehensive and critical literature review of the existing MC algorithms for MIMO systems;where possible, gaps in the knowledge base are identified and future directions for the research work are suggested. (C) 2016 Elsevier Ltd. All rights reserved.
One of the major drawback in multi-carrier signals is large envelope fluctuations i.e., high peak-to-average power ratio (PAPR). The objective of this paper is to propose neural network based active gradient project s...
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One of the major drawback in multi-carrier signals is large envelope fluctuations i.e., high peak-to-average power ratio (PAPR). The objective of this paper is to propose neural network based active gradient project sequence, a computationally efficient hybrid method to reduce PAPR in multiple-input multiple-output orthogonal frequency division multiplexing system without sacrificing BER performance. In this paper, a neural network based trained module of approximate gradient project scheme (AGP-NN) is combined in parallel with partial transmit sequence method. The Levenberg-Marquardt training algorithm is used to train neural network based AGP module. The simulation results show that the proposed technique not only outperforms other conventional techniques but also offers less computational complexity.
The multiple-input multiple-output (MIMO) concept has been readily invoked in visible light communication (VLC) for increasing data rate. In this letter, we conceive a general solution of dimming control and MIMO tran...
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The multiple-input multiple-output (MIMO) concept has been readily invoked in visible light communication (VLC) for increasing data rate. In this letter, we conceive a general solution of dimming control and MIMO transceiver design for VLC, which is capable of minimizing the mean-squared error between the transmitted and received signals, while at the same time, maintaining a specific indoor illumination level. We take into consideration practical optical constraints in the design, including the LED non-linearity and the specific dimming requirements. An efficient solution of our design problem is derived by conceiving a projected gradient algorithm. Our numerical results show that the proposed scheme achieves better bit error rate performance as well as significantly higher convergence speed than its benchmarker conceived in 2015.
作者:
Pan, XiaolongLiu, BoLi, LiTian, QinghuaBUPT
State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China BUPT
Sch Elect Engn Beijing 100876 Peoples R China BUPT
Sch Sci Beijing 100876 Peoples R China
This paper proposes and demonstrates a low complexity multiple-input multiple-output (MIMO) equalization digital signal processing (DSP) method for the few mode multi-core (FMMC) fiber optical transmission system. The...
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This paper proposes and demonstrates a low complexity multiple-input multiple-output (MIMO) equalization digital signal processing (DSP) method for the few mode multi-core (FMMC) fiber optical transmission system. The MIMO equalization algorithm offers adaptive equalization taps according to the degree of crosstalk in cores or modes, which eliminates the interference among different modes and cores in space division multiplexing (SDM) transmission system. Compared with traditional MIMO method, the proposed scheme has increased the convergence rate by 4 times and reduced the number of finite impulse response (FIR) filters by 55% when the numbers of mode and core are three. (C) 2016 The Authors. Published by Elsevier B.V.
In this paper, we present an efficient transmission scheme for multiple-input multiple-output (MIMO) systems, i.e., coded spatial modulation (SM) systems with soft-decision aided detector. To exploit the powerful erro...
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In this paper, we present an efficient transmission scheme for multiple-input multiple-output (MIMO) systems, i.e., coded spatial modulation (SM) systems with soft-decision aided detector. To exploit the powerful error correction of channel coding, the key challenge of coded SM systems is on designing a reliable but low-complexity soft-output detector. Fighting against this problem, we first propose two soft-output detection algorithms by exploiting the features of M-phase-shift keying (PSK) and M-quadrature amplitude modulation (QAM) constellations, namely, PSK-based soft-output detector (PBSD) and QAM-based soft-output detector (QBSD). Furthermore, to further enhance the performance of the two algorithms, we propose another two soft-output detection algorithms taking into account of counterpart maximum-likelihood (ML) estimate, namely, improved PSK-based soft-output detector (IPBSD) and improved QAM-based soft-output detector (IQBSD). The findings of this paper demonstrate that: (1) The computational complexity of PBSD and QBSD algorithms are much lower than that of Max-Log-LLR algorithm at the expense of error performance. (2) Both the IPBSD and IQBSD algorithms achieve the same performance as Max-Log-LLR algorithm with reduced computational complexity. In addition, a comprehensive performance and computational complexity comparison between the proposed algorithms and the Max-Log-LLR algorithm is provided to verify our proposed low-complexity soft-output detectors.
The feasibility condition of interference alignment (IA) for multiple-input multiple-output two-way interference channel is studied in this paper. A necessary condition and a sufficient condition on the IA feasibility...
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The feasibility condition of interference alignment (IA) for multiple-input multiple-output two-way interference channel is studied in this paper. A necessary condition and a sufficient condition on the IA feasibility are established and the sum degrees of freedom (DoF) for a broad class of network topologies is characterized. The numerical results demonstrate that two-way operation with appropriate IA is able to achieve larger sum DoF than the conventional one-way operation.
A multiple-input multiple-output (MIMO) slot antenna integrated with a printed circuit board (PCB) is proposed for accesspoint (AP) applications. The antenna comprises two square slot radiators fed by mutually orthogo...
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A multiple-input multiple-output (MIMO) slot antenna integrated with a printed circuit board (PCB) is proposed for accesspoint (AP) applications. The antenna comprises two square slot radiators fed by mutually orthogonal 50-X microstrip lines. Through an appropriate adjustment of the antenna geometry parameters, a sufficient 210 dB return loss impedance bandwidth (similar to 21% at 2.43 GHz), a good radiating performance (i.e., high antenna peak gain values and stable radiation patterns), and a high isolation between the radiators can be achieved. The antenna is thus ideally suited for IEEE 802.11n (2.4 GHz) wireless local area network (WLAN) AP applications. (C) 2016 Wiley Periodicals, Inc.
This paper considers a multiple-input multiple-output (MIMO) two-way relaying network, where two-source nodes exchange data via a half-duplex amplify-and-forward (AF) relay. In this paper, we propose an efficient rand...
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This paper considers a multiple-input multiple-output (MIMO) two-way relaying network, where two-source nodes exchange data via a half-duplex amplify-and-forward (AF) relay. In this paper, we propose an efficient random antenna selection strategy based on maximising the sum-rate and minimising the power consumption. The proposed strategy involves choosing the best transmit and receive antennas at the two sources based on the maximisation of the overall sum-rate. The key design criterion is to reduce transmit radio frequency chains in order to minimise the energy consumption of the system. In the first step, transmit and receive antennas will be selected randomly. In the second step, signal-to-noise ratios (SNRs) of randomly chosen antennas are compared with a predefined threshold gamma th. If the SNRs of the selected antennas are higher than the predefined threshold, these antennas will be chosen for the communication. Else another random selection is used. Also, we show that for the problem of sum-rate maximisation related to the introduced system, the optimal relay matrix have a general beamforming structure. Simulations demonstrate the performance of the proposed algorithm.
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