- Sparse and Compressive Sensing Techniques
- Direction-of-Arrival Estimation Techniques
- Blind Source Separation Techniques
- Radar Systems and Signal Processing
- Speech and Audio Processing
- Image and Signal Denoising Methods
- Advanced SAR Imaging Techniques
- Thermal Analysis in Power Transmission
- Wireless Signal Modulation Classification
- Indoor and Outdoor Localization Technologies
- Advanced Adaptive Filtering Techniques
- Power Quality and Harmonics
- Lanthanide and Transition Metal Complexes
- Mathematical Analysis and Transform Methods
- Antenna Design and Optimization
- GNSS positioning and interference
- Electron Spin Resonance Studies
- Advanced MRI Techniques and Applications
- Lightning and Electromagnetic Phenomena
- Distributed Sensor Networks and Detection Algorithms
- Islanding Detection in Power Systems
- Microgrid Control and Optimization
- Advanced Electrical Measurement Techniques
- Machine Fault Diagnosis Techniques
- Microwave Imaging and Scattering Analysis
Harbin Institute of Technology
2019-2024
University of Canterbury
2008
The joint estimation of the spectrum, carrier, and direction arrival (DOA) is significant in radar, sonar, wireless communications, cognitive radio systems. traditional parameter measurement methods based on Shannon–Nyquist theorem require very high sampling rates, which put a lot pressure sampling, processing, storage devices. In this article, novel beamforming modulated wideband converter (BMWC) system for DOA proposed to improve robustness reduce structural complexity. From spatial signal...
Measurement of linear frequency modulation (LFM) signal is significant for radar, communication, and electronic reconnaissance fields. An LFM a wideband whose varies linearly with time, traditional measurement methods require very high sampling rates heavy processing to estimate parameters the signal. In this article, we propose multichannel cooperative (MCS) system based on finite rate innovation (FRI) theory sample real-valued pulse sequence (LFMPS). The MCS consists three parts:...
Compact fluorescent lamps (CFLs) are increasingly being used in households and commercial buildings because of the desire to reduce electricity usage. CFLs nonlinear, which raises concerns over widespread use due possible adverse effects on harmonic voltage levels distribution system. Laboratory tests were performed more than 23 brands sold New Zealand, order understand their electrical performance. A PSCAD/EMTDC model a simple CFL ballast circuit is shown match actual current waveforms...
Measurement of multiple sinusoidal signals (MSSs) is significant in instrumentation and measurement, radar, communications, many other electric systems. methods based upon Shannon sampling theory require very high rates heavy processing to estimate the frequencies amplitudes. In this article, we propose a multichannel time-staggered system measure MSSs with short-observation sub-Nyquist samples. The scheme composed N' channels, where staggered time allowed be greater than Nyquist interval....
The finite-rate-of-innovation (FRI) sampling method can reconstruct signals with few samples. However, classical FRI often has serious model mismatch when dealing asymmetric pulse signals. variable-pulse-width (VPW) signal is composed of pulses variable width, which better match the in actual measurement, such as electrocardiogram (ECG) and bidirectional reflectance distribution function (BRDF). VPW-FRI theory provides an effective alternative to sub-Nyquist Recent studies have used time...
Measurement of parameters M -ary phase shift keying (MPSK) signals is significant for radar and communication systems. Traditional parameter measurement methods require very high sampling rates heavy processing to estimate the key amplitude, carrier frequency, phases, discontinuity locations. We propose a multichannel cooperative system using finite rate innovation theorem address this problem. In our two-channel system, main channel estimates MPSK amplitude frequency nonlinear process...
Spectrum measurement and direction of arrival (DOA) estimation methods based on traditional Nyquist theory lead to high sampling rate a large amount data, which bring challenges hardware signal processing. An array cooperative modulated wideband converter (ACMWC) sub-Nyquist system for spectrum DOA is proposed in this work. Based linear (LA) MWC structure with an arbitrary element position, we construct unified space-frequency domain sparse model by combining the modulation information...
This thesis presents the research on CFL’s phase dependency modelling to provide an improved harmonic assessment of their widespread use in distribution system. Conventionally, CFL is modelled as fixed current source, which ignores interaction with ac electrical network. However, different magnitude and angle applied voltage, injection will be varied. leads methodology using a Norton equivalent circuit model behaviour. In small voltage distortion range, such 5% VTHD, admittance dependent...
With the development of radar, wireless communications, remote sensing and other fields, signal bandwidth is getting wider. Traditional spectrum direction arrival (DOA) estimation based on Nyquist sampling leads to high rate, which poses challenges acquisition processing equipment. In this paper, a novel sub-Nyquist DOA method space-time trilinear model proposed improve performance, also solve rank deficiency problem in presence coherent signals. First, uniform liner array (ULA) modulated...
We consider the problem of estimating carrier and two-dimensional direction arrival (2D-DOA) sparse multiband signals composed several narrowband transmissions. The traditional sampling methods based on Shannon-Nyquist theorem bring great pressure to storage devices. In this paper, joint estimation 2D-DOA signal sampled by two L-shape arrays modulated wideband convertor (MWC) is proposed. reconstruction algorithm ESPRIT method overcomes pairing issue between three parameters. Simulation...
Range-Doppler detection with pulse sequences exists widely in Radar, sonar, ultrasound imaging, and many other engineering applications. However, the classic methods require a high sampling rate for wideband pulses, Doppler estimation slow time sub-Nyquist may suffer from phase wrapping. In this brief, sequential-based range-Doppler method fast is proposed. Utilizing finite of innovation (FRI) theory, range parameters can be estimated several Fourier coefficients. The determined by number...
The joint carrier frequency and two-dimensional direction of arrival (2D-DOA) estimation is a significant problem for radar communication systems. With the development information technology, spectrum signal wider wider, but effective occupied bandwidth narrower. traditional sampling methods based on Shannon-Nyquist theorem bring great pressure to storage devices. In this paper, new frequencies 2D-DOAs method proposed. transmissions received sampled by L-shape delay arrays architecture...
Linear frequency modulation (LFM) signals exist widely in many engineering applications, such as radar, sonar, wireless communications, and electronic reconnaissance, where stretch processing is commonly adopted to reduce the bandwidth. In this paper, a method of sub-Nyquist sampling parameter estimation LFM proposed based on FRI theory. The first mixes received signal with its delayed version. Then, mixed filtered by kernel sampled at low rate. Finally, parameters are estimated from rate...
Chemical exchange saturation transfer (CEST) is a powerful technique that enables non-invasive detection of endogenous metabolites in living tissues. Since the observed water signal decreased due to saturated spins, CEST imaging inherently suffers from low SNR, hence degrading accuracy and reproducibility. Inspired by spatial-spectral correlation images, here we propose Subapace denoising method with Non-Local Low-Rank constraint Spectral-Smoothness regularization (SNLRSS) diminish noise,...
Finite rate of innovation (FRI) sampling is widely used in modern high-resolution range-Doppler (RD) detection systems to reduce the rate. However, as decreases, method becomes more noise-sensitive. This study proposes a deep atomic norm denoising network (DAND-Net) denoise FRI samples RD signals and estimate noise levels (NLs). Based on sparse common support property samples, problem was modeled an soft thresholding problem, which jointly multiple measurement vectors could be unfolded into...
In this paper, we propose a new distributed sampling scheme for multiple sinusoids signals, which can further reduce the number of samples each channel. Based on frequency sparse common support (SCS) model, recover signals using from several channels jointly. We time-staggered (DTSS) system, requires only ΓK + K/Pl per non-delay channel and K delay when recovering components by P channels. addition, staggered time is required no longer than Nyquist interval in method. Simulation results...
Pulse streams are a kind of finite rate innovation (FRI) signal that widely exist in many engineering applications. According to the FRI theory, nonconsecutive sampled Fourier coefficients (FCs) have better parameter estimation effects than consecutive ones. In this brief, we propose general sampling system for pulse based on multichannel random modulation (MRM). Jointly using samples, multiple sets FCs distinct frequency bands can be analytically calculated by solving least-squares...
Although the 5G positioning accuracy has been greatly improved due to support of technologies such as large bandwidth and massive MIMO, it also brings a problem that receiver needs process amounts data obtain position information user equipment (UE). The finite rate innovation (FRI) sampling theory can recover unknown signals through small number samples. In order reduce amount be processed during effectively estimate UE, this paper proposes method based on FRI sampling. A structure for...