A5057846327- Radar Systems and Signal Processing
- Radio Wave Propagation Studies
- Ocean Waves and Remote Sensing
- Target Tracking and Data Fusion in Sensor Networks
- Metallurgical Processes and Thermodynamics
- Digital Media and Visual Art
- Advanced SAR Imaging Techniques
- Microwave Imaging and Scattering Analysis
- Grouting, Rheology, and Soil Mechanics
- Asphalt Pavement Performance Evaluation
- Mineral Processing and Grinding
- Concrete and Cement Materials Research
- Mechanical and Optical Resonators
- Distributed Sensor Networks and Detection Algorithms
- Recycling and utilization of industrial and municipal waste in materials production
- Intermetallics and Advanced Alloy Properties
- Augmented Reality Applications
- Minerals Flotation and Separation Techniques
- Geophysical Methods and Applications
- Error Correcting Code Techniques
- Differential Equations and Numerical Methods
- Algorithms and Data Compression
- Fractional Differential Equations Solutions
- Metal Extraction and Bioleaching
- Force Microscopy Techniques and Applications
Harbin Institute of Technology
2011-2025
East China University of Science and Technology
2018-2021
Heilongjiang University of Science and Technology
2016
The order statistic (OS) constant false alarm rate (CFAR) detector is designed from a perspective of quantile estimation and uses the sample (SQ) estimator to estimate background level. Following this idea, we find more efficient estimator, i.e. Kaigh-Lachenbruch (KLQ) construct robust CFAR detector, which referred as KLQ-CFAR. We prove that KLQ an asymptotic unbiased function derive variance in Exponential case. It shown has efficiency than SQ estimator. Subsequently, explore performance...
We construct an improved and distribution-free quantile estimator (called IBQ estimator) with representation as a linear combination of order statistics. The can estimate quantiles any scale-invariant population by using censored samples. Taking Exponential example, we derive the mean squared error (MSE) under small sample case. It is found that exhibits higher estimation efficiency when estimating large compared other two existing estimators. Applying to create clutter level, establish...
In this paper, the concept of quantile is introduced and elaborately related to truncation depth, based on which truncated statistics (QTS) put forward. The QTS gives a reasonable explanation depth makes selection well-founded controllable. addition, maximum likelihood estimation (QTS-MLE) for probability density function (PDF) parameters derived. We start analysis from Weibull background assuming that shape parameter known, then extend it case where unknown. By analyzing variance mean...
This paper presents the design, fabrication and calibration of a novel two-dimension microforce sensor with nano-Newton resolution. The sensor, mainly composed clamped–clamped beam (horizontal detecting beam), an overhanging (vertical beam) half-folded beam, is highly sensitive to microforces in horizontal (parallel probe designed sensor) vertical (perpendicular wafer surface) directions. four sidewall surface piezoresistors piezoresistors) two were fabricated achieve requirements...
Realistically simulating spatial–temporal correlated complex sea clutter using statistical model-based methods is very challenging because the intricate interplay of various physical mechanisms in both space and time poses significant obstacles for modeling. In this article, to overcome challenge, we propose a data-driven method based on 2-D amplitude phase matching optimization (APMO) with two steps. First, simulated amplitudes desired distribution correlation characteristics are generated...
Digital fountain codes can be applied into the file delivery in deep space communication for rateless and non-feedback characteristics. However, code-length typical sub-optimal algorithm are two critical factors environment, which may guarantee considerable decoding rate with power buffer-limited equipment. In this study, a novel approach, dependent sequences compensation (DSCA) is proposed by restricting randomness of range 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this work, aiming to simulate random complex clutter with the similar spatial-temporal correlation and amplitude distribution measured clutter, a two-step data-driven method as an alternative statistical methods is proposed. First, data matrix desired generated via sliding-window filtering (SWF) from clutter. Based on compound-Gaussian model, it explained that SWF guarantees can roughly reproduce of Second, further improve reproducing performance, scheme combining amplitude-phase...
In this paper, we present an exact performance analysis of linearly combined order statistics (LCOS) constant false alarm rate (CFAR) processors in heterogeneous background. We provide detailed derivations the probability ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$P_\mathrm{fa}$</tex-math></inline-formula> ) and detection notation="LaTeX">$P_\mathrm{d}$</tex-math></inline-formula> for LCOS-CFAR a...
Abstract This letter proposes a data‐driven method to simulate random sea clutter amplitude sequence with distribution and correlation characteristics directly inherited from the measured clutter. First, generation model is developed desired distribution. By multiplying amplitudes disturbance coefficients, introduces sample diversity between simulated sequences. Meanwhile, quantitatively control difference of tails sequences (i.e. ensure their distributions are similar), threshold error...
In skywave over-the-horizon radar (OTHR), the slow-time randomly missing data reconstruction is vital for following signal processing where contaminated by lightning discharges or transient meteors are usually discarded and have to be reconstructed properly. The least-square auto-regressive (LS-AR) method often used as a solver problem. However, derivations LS-AR not convincing performance of would degraded even failed in some cases. this paper, we aimed at solving these two issues...