A5031810458- Cognitive Radio Networks and Spectrum Sensing
- Non-Invasive Vital Sign Monitoring
- Power Line Communications and Noise
- Blind Source Separation Techniques
- Wireless Body Area Networks
- ECG Monitoring and Analysis
- Wireless Communication Networks Research
- Microwave Imaging and Scattering Analysis
- Radar Systems and Signal Processing
- Distributed Sensor Networks and Detection Algorithms
- Advanced Adaptive Filtering Techniques
- Sparse and Compressive Sensing Techniques
- Atomic and Subatomic Physics Research
- Healthcare Technology and Patient Monitoring
- Full-Duplex Wireless Communications
- Antenna Design and Optimization
- Image and Signal Denoising Methods
- Advanced MIMO Systems Optimization
- Analog and Mixed-Signal Circuit Design
- Millimeter-Wave Propagation and Modeling
- Advanced SAR Imaging Techniques
- Statistical and numerical algorithms
University of Aveiro
2013-2018
Instituto de Telecomunicações
2014-2018
Singular Spectrum Analysis (SSA) or Value Decomposition (SVD) are often used to de-noise univariate time series study their spectral profile. Both techniques rely on the eigendecomposition of cor- relation matrix estimated after embedding signal into its delayed coordi- nates. In this work we show that eigenvectors can be calculate coefficients a set filters which form filter bank. The properties these derived. particular outputs grouped according frequency response. Furthermore, fre- quency...
Cardiopulmonary monitoring without any physical contact with the human body has several applications, such as health of bedridden patients, sleeping, or even for rescuing people from collapsed buildings. The Bio-Radar system can accurately measure vital signals by using principle Doppler effect, which relates properties received signal to distance change between radar antennas and person's chest wall. In this paper, a mathematical model is presented. algorithm used extracting breathing rate...
In this article we describe a novel process for blind detection in spectrum sensing taking advantage of the cyclostationary features any digital modulation that uses finite number distinct signals to represent data. Traditional models only look at peak cyclic satisfies given threshold, method take leakage identify signal. This shows better performance detecting low SNR than traditional signal detection.
In this article we describe a novel process for blind detection in spectrum sensing taking advantage of the cyclostationary features any digital modulation that uses finite number distinct signals to represent data. Traditional models only look at peak cyclic satisfies given threshold, method take leakage identify signal. This shows better performance detecting low SNR than traditional signal detection.
In this paper we discuss the real time implementation and development of a front-end that is able to sample RF signals with large bandwidth dynamic range. This uses an 8 channel multiplexer sampled by ADC board. A FPGA board used control implements digital synthesis filter bank. Preliminary results show possible reconstruct input signal.
The bio-radar system can measure vital signals accurately, such as the respiratory signal, by using Doppler effect principle that relates received signal properties with distance change between radar antennas and person's chest-wall. In this paper, antenna radiation pattern influence on quality of is analysed. Moreover, we show a narrow beam leads to better noise ratio.
Abstract In this article the concept of a fully electronic beamforming antenna array for radar systems based on SDR architecture is proposed and experimentally evaluated in an anechoic chamber. The system uses 2 software defined radio (SDR) transceivers with 4 independently controlled transmitters, allowing individual digital control both amplitude phase signal fed to each element array. It also method that greatly reduces sidelobes radiation pattern it was compared traditional beam steered...