A5114910324- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Antenna Design and Optimization
- Microwave Imaging and Scattering Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Fiber Optic Sensors
- Advanced Antenna and Metasurface Technologies
- Underwater Acoustics Research
- Advanced Algorithms and Applications
- Underwater Vehicles and Communication Systems
Harbin Institute of Technology
2018-2025
ORCID
2018
Shandong University of Science and Technology
2013
Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups play crucial roles in scenario monitoring. In this study, we address downlink precoding problem large-scale multi-user multiple-input multiple-output dual-function equipped with low-resolution quantized digital-to-analog converters. To tackle issue, develop a weighted optimization framework that minimizes mean squared error between transmitted symbols their...
The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional (PF) by utilizing conditional dependency relationships between parts of state variables to estimate. By doing so, RBPF could not only improve estimation precision but also reduce overall computational complexity. However, burden is still too high for many real-time applications. To efficiency RBPF, swarm optimization (PSO) applied drive all particles regions where their likelihoods are...
In modern electronic warfare, cognitive radar with knowledge-aided waveforms would show significant flexibility in anti-interference. this paper, a novel method, named particle swarm-assisted projection optimization (PSAP), is introduced to design phase-coded multi-level low range sidelobes, which mainly considers the stability for randomized initialization under unimodular constraint. Firstly, mathematical problem corresponding avoid sidelobe masking from multiple non-cooperative targets or...
To enhance maneuvering target tracking in modern battlefield, cognitive radar could adjust its waveforms and information processing manner. In this paper, a novel adaptive waveform design method based on multiple model interaction measurement fusion is developed. First, some latest measurements virtual ones are collected to exploit more robust information. Second, the unknown state formulated via multi-model idea, framework highlighted by matrix-weighted (MMF) lieu of probability-weighted...
In this paper, we present a novel method, named Particles Filter Assisted Projection (PFAP), to design unimodular waveform with local low range sidelobes. As the designing problem constraint is often deemed as non-convex, and hard tackle, here borrow multi-particles resampling idea improve robustness. By formulating typical sidelobes mathematical problems, these nonlinear approximations can be solved via PFAP FFT, where particles assisted projection mechanism could enhance global convergence...
In distributed coherent aperture radar (DCAR), the fundamental problem in ensuring full coherence of system is how to realize precise positioning subarray. The subarray scheme designed based on multi-domain extended extreme learning machine (ELM)-direction arrival (DOA) estimation for mobile DCAR system. partition improves ELM model, making algorithm effective and low-complex changing electromagnetic environment. Firstly, array covariance matrix constrained by L2 regularization decrease...
In modern electronic warfare, radar with knowledge-aided waveforms has shown significant flexibility. this paper, the method named Particles Swarm Projection Optimization (PSPO), is introduced to design local low range sidelobes waveform under non-convex constraint and randomized initialization. Firstly, mathematical problem corresponding multiple non-cooperative targets or interference formulated considering different threat levels. Furthermore, using alternating direction decomposition...