Ju Wang

ORCID: 0000-0002-3048-9949
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Radar Systems and Signal Processing
  • Advanced Adaptive Filtering Techniques
  • Indoor and Outdoor Localization Technologies
  • Microwave Imaging and Scattering Analysis
  • Advanced SAR Imaging Techniques
  • Sparse and Compressive Sensing Techniques
  • Direction-of-Arrival Estimation Techniques
  • Remote Sensing and LiDAR Applications
  • Smart Agriculture and AI
  • Geophysical Methods and Applications
  • Advanced Wireless Communication Techniques
  • Wireless Communication Networks Research
  • Blind Source Separation Techniques
  • Cognitive Radio Networks and Spectrum Sensing
  • Soil Moisture and Remote Sensing
  • Radio Wave Propagation Studies

Beijing Institute of Technology
2022-2025

Accurate and efficient foliage penetration (FOPEN) target recognition plays a vital role in many mission-critical applications, ranging from civilian to surveillance military. Recently, device-free sensing (DFS), as an emerging technique, has gained great popularity because it requires no dedicated equipment other than wireless transceivers. Although some DFS-based approaches have been successfully applied environments, they are vulnerable climate dynamics heavily rely on re-labeling large...

10.1109/tgrs.2022.3225267 article EN IEEE Transactions on Geoscience and Remote Sensing 2022-01-01

In the application of Compressive Sensing (CS) theory for sidelobe suppression in Random Frequency and Pulse Repetition Interval Agile (RFPA) radar, off−grid issues affect performance target parameter estimation RFPA radar. Therefore, to address this issue, paper presents an CS algorithm named Refinement Generalized Double Pareto (GDP) distribution based on Sparse Bayesian Learning (RGDP−SBL) radar that utilizes a coarse−to−fine grid refinement approach, allowing precise cost−effective...

10.3390/rs16020403 article EN cc-by Remote Sensing 2024-01-20

For hybrid direct sequence/frequency hopping (DS/FH) spread spectrum signals, even if the relative motion speed between transmitter and receiver remains constant, Doppler frequency will vary due to continuous of carrier frequency. Under high dynamic conditions, first-order second-order change rates attached received signal further increase agility, making it difficult for tracking loop maintain steady-state tracking. To address these issues, a velocity locked (HD-VLL) is proposed in this...

10.3390/electronics13091794 article EN Electronics 2024-05-06

Mismatched filters (MMF) have been intensively explored for linear-frequency modulation (LFM) waveform sidelobe reduction. Unlike other design strategies, the use of convex optimization (CO) techniques is able to find optimal design. However, existing studies CO-based MMF focused on minimizing peak level (PSL), which might not take mainlobe widening sacrifice into account. To address this issue, paper proposes a weighted CO model targeting flexible tradeoff between suppression and widening....

10.1109/access.2022.3175322 article EN cc-by IEEE Access 2022-01-01

Random frequency and pulse repetition interval agile (RFPA) signals have excellent anti-jamming ability achieve low probability of intercept (LPI), making them promising for applications in radar systems. However, their matched filter (MF) outputs suffer from random range-velocity sidelobes. In the range dimension, these sidelobes can be classified into two categories: distant sidelobe floor spread out beyond minimum between pulses, near plateau confined within about one pulsewidth. These...

10.1109/taes.2022.3188594 article EN IEEE Transactions on Aerospace and Electronic Systems 2022-07-06

Off-grid issues and high computational complexity are two major challenges faced by sparse Bayesian learning (SBL)-based compressive sensing (CS) algorithms used for random frequency pulse interval agile (RFPA) radar. Therefore, this paper proposes an off-grid CS algorithm RFPA radar based on Root-SBL to address these issues. To effectively cope with issues, derives a root-solving formula inspired the velocity parameters applicable radar, thus enabling proposed directly solve of targets...

10.3390/rs16193564 article EN cc-by Remote Sensing 2024-09-25

The random frequency and pulse repetition interval agile (RFP A) radar has been known to have excellent electronic counter-countermeasures performance. However, the phase of RFPA echoes is no longer continuous due simultaneous agility carrier interval, randomness greatly increases difficulty coherent processing. To address above issues, an RFPA-radon-fourier transform (RFPA-RFT) method proposed in this paper that could jointly search range velocity target trajectory, compensate for terms...

10.1109/eei59236.2023.10212907 article EN 2023-06-30
Coming Soon ...