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The non-invasive cortical bone quality assessments using ultrasound axial transmission technique have attracted strong attention. The estimation of phase velocity and attenuation of absorbing plate should help the assessment. To get the high-resolution estimation, we employ an adaptive beamforming technique that uses an eigenvalue decomposition. The technique can estimate not only the phase velocities...
A robust approach for estimating the expected maximum levels of radiofrequency, time-varying, electromagnetic emissions is proposed. The expected maximum peak value is intended to provide a statistical approximation for the worst case emissions scenario that accounts for the variability of the measured interference. The estimates are obtained through Monte Carlo resampling from a non-parametric distribution...
The industrial demands for accurate localization systems have been rapidly increasing after the introduction of the Internet of Things (IoT) concept. Self localization and tracking transmitting sources are considered essential parts of IoT applications. In this paper we studied the possibility of applying angle of arrival (AoA) estimations to localize an IoT transceiver device in an indoor environment...
Spectral efficiency and capacity of Land Mobile Satellite (LMS) systems can be enhanced by using MIMO (Multiple Input Multiple Output). Polarization diversity is an efficient technique to realize MIMO in LMS communications. Polarization diversity employs different polarization to realize multiple independent propagation paths. Dual polarized antennas offer a space and cost effective alternative compared...
This paper analyzes the effect of bubble noise and Doppler shift in an underwater acoustic communication in addition to the influences by ambient noise and severe multipath propagation. Here Bubbles are assumed to be formed due to breaking of waves under strong winds. The bubble layer thus formed alters the speed of the sound in the field. The changed speed of the sound in the field, results in transmission...
This paper presents an application of complementary filtration for estimating running pace using GPS and pedometer data. In the approach presented two information sources are fused with dynamically adjusted importance factors. In the case of poor GPS signal the pedometer data are gained by the filter, and otherwise. The method proposed was verified using multiple simulations. An exemplary one is presented...
In this work, the optimization of the analog transmit waveform for joint delay-Doppler estimation under sub-Nyquist conditions is considered. Based on the Bayesian Cramer-Rao lower bound (BCRLB), we derive an estimation theoretic design rule for the Fourier coefficients of the analog transmit signal when violating the sampling theorem at the receiver through a wide analog pre-filtering bandwidth....
Hand gestures are tools for conveying information, expressing emotion, interacting with electronic devices or even serving disabled people as a second language. A gesture can be recognized by capturing the movement of the hand, in real time, and classifying the collected data. Several commercial products such as Microsoft Kinect, Leap Motion Sensor, Synertial Gloves and HTC Vive have been released...
It is indispensable to take a low complexity and high accuracy channel estimation algorithm into account under rapidly growth in wireless communication. In this paper, we propose an algorithm for channel estimation using complementary sequence (CS). By utilizing the fantastic autocorrelation property of CS, time domain channel estimation can be easily achieved. We analyzed the complementary sequence,...
This paper proposes a new filter design optimized for GNSS attitude determination applications using low cost devices. The filter contains all relevant constraints and observations, including double differenced carrier phase and code observations along with MEMS-IMU observations. Benefited from the unified treatment, the priori information is well used during the resolution of double differenced GNSS...
In this work, the problem of channel estimation in multicarrier communications with the Type-I even discrete cosine transform (DCT1e) is addressed. A novel scheme, based on using the DCT1e, both at the transmitter and the receiver, is introduced. The proposed approach does not require adding any redundancy or knowing the exact length of the channel's impulse response. By constructing a symmetric training...
The limited availability and the lack of continuity in the service of Global Positioning Satellite Systems (GNSS) in harsh environments is a critical issue for Intelligent Transport Systems (ITS) applications relying on the position. This work is developed within the framework of vehicle-to-everything (V2X) communication, with the aim to guarantee a continuous position availability to all the agents...
The cognitive radio (CR) have been proposed to improve spectral efficiency and to meet growing demands for higher data rates in mobile communications and satellite communications. In this paper, we propose a blind estimation algorithm for a secondary user to estimate transmission parameters of the primary signal in an OFDM overlay system, using only the available fast Fourier transform (FFT) component...
In GPS measurement, the existence of cycle slip directly affects the ultimately positioning accuracy. In order to obtain high positioning accuracy, cycle slip in carrier phase observations must be detected and repaired. So detecting and repairing of cycle slip has become one of the most important parts of GPS phase data processing. This paper presents our investigation of the cycle slip detection...
Various Online Social Network (OSN) based applications depend on the interactions between users to disseminate information and recruit more users. The temporal evolution of adoption or cascade process of new products, applications or ideas is important to advertisers, OSN operators and application developers. Interactions between users are represented by massive directed graphs, so graph sampling...
Ultra-wideband (UWB) signal offers high time resolution and precise time of arrive (TOA) estimation. But it requires extremely high sampling rate analog to digital conversion (ADC). To handle this problem, Compressive sampling (CS) theory has been used in UWB system to localize objects at a sampling rate much below the Nyquist rate. In this paper, we utilize Bayesian Compressive Sensing (BCS) to UWB...
To acquire GPS signal in challenging environments, a new acquisition scheme based on cyclostatistic is presented. The scheme is constructed on the base of cyclostationary features of GPS signal which is different from noise and interference significantly. Stimulations results show that the proposed cyclostatistic based method outperforms the conventional GPS acquisition method.
Cooperative detection system, which combines selforganizing network and single radar system, improves the ability of cooperative localization by distributed multi-node using multi-direction scattering power of target. Multiplehypothesis (MH)-Based Algorithm for Target Localization finds all possible targets using multi-path echo information with unknown number of targets, and realizes multi-target...
We propose PathML, an available bandwidth (i.e., unused capacity of an end-to-end path) estimation method based on a data-driven paradigm that uses machine learning with a large amount of data. An experiment over an operational LTE network was performed to compare our method with prior work.
The dawn of 5G requires significantly higher data rates, not only for the Radio Access Technology (RAT), but also for the transport network. Line-of-Sight MIMO links based on mmWave radios promise reaching ultra-high throughput with reasonably small antennas. mmWave links with optimally arranged antennas are one viable concept for spatial multiplexing, capable of potentially achieving Gb/s data rates...
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