A5101828614- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Metal Forming Simulation Techniques
- Wireless Signal Modulation Classification
- Metallurgy and Material Forming
- Laser and Thermal Forming Techniques
- Civil and Geotechnical Engineering Research
- Advanced Optical Network Technologies
- Optical Systems and Laser Technology
- Geomechanics and Mining Engineering
- Geoscience and Mining Technology
- Power Line Communications and Noise
- Sparse and Compressive Sensing Techniques
- Structural Load-Bearing Analysis
- Aluminum Alloy Microstructure Properties
- Vehicular Ad Hoc Networks (VANETs)
- Numerical methods in engineering
- Fatigue and fracture mechanics
Sun Yat-sen University
2024
Harbin Engineering University
2023
Nanjing University of Aeronautics and Astronautics
2019-2021
National Cheng Kung University
2006
Dense false target jamming (DFTJ) is one of the most common and threatening modes, seriously affecting a radar from detecting target. This article counters DFTJ by proposing fast–slow time domain joint frequency response feature-based recognition method that utilizes differences in characteristics digital radio memory (DRFM) jammer. The core idea this to model influence radar's DRFM jammer's on features echo signal. In addition, developed strategy extends fast-time through pulse compression...
Full forwarding dense false target jamming signals correlate highly with real echoes, and their training samples are difficult to obtain, constraining radars from effectively identifying echoes. To overcome this challenging problem, article systematically analyzes studies the frequency response characteristics of radar jammer models influence on amplitude–frequency features Then, positive-unlabeled learning (PU learning)-based algorithm is proposed solve signal recognition problem missing...
Radar false target jamming can be used to cover the actions of real targets, posing a great challenge radar detection. Most traditional recognition methods are almost ineffective in recognizing real-false targets case missing samples, and their effectiveness may decrease with pulse compression processing. This letter proposes method based on fast-slow time frequency response features positive-unlabeled (PU) learning algorithm overcome above problems. The novel utilizes coherent accumulation...
Abstract This paper presents the general solutions of antiplane electro‐mechanical field for a bimaterial piezoelectric wedge subjected to pair concentrated forces and surface charges. Identical angles are assumed here. Using Mellin transform method, singularity orders generalized stress, strain, electric displacement intensity factors derived analytically. The discussion semi‐infinite crack at interface two bonded half‐planes is also included. Some degenerated cases investigated check...
There are many types of radar active deception false target jamming that highly correlated with the real target. Recognizing and targets under a low Signal-to-Noise Ratio (SNR) is difficult. To solve above problem, this article proposes real/false recognition method based on features multi-pulse joint frequency response by analyzing differences in scattering characteristics modeling echoes as synthesis multi-scattering center echoes. Firstly, range-doppler domain, truncated along range...