A5075480266- Geophysical Methods and Applications
- Wireless Signal Modulation Classification
- Gas Sensing Nanomaterials and Sensors
- Target Tracking and Data Fusion in Sensor Networks
- Ga2O3 and related materials
- ZnO doping and properties
- Advanced SAR Imaging Techniques
- Underwater Acoustics Research
- Indoor and Outdoor Localization Technologies
- Integrated Circuits and Semiconductor Failure Analysis
PLA Information Engineering University
2021-2022
Harbin Institute of Technology
2021
This letter proposes the use of neural networks to realize passive localization by signal time difference arrival (TDOA). In face multiple complex targets with radiation sources in a specific area, real-time is an urgent problem. this letter, positions known from prior data are obtained and their calculated, which will be connected as pairs input network trained obtain corresponding model. Subsequently, unknown can localized network. It verified that accuracy algorithm reliable its...
Time-frequency images (TFIs) of radar emitter signals can reflect intra-pulse modulation information and be utilized to recognize waveforms, which is helpful for identification. However, are usually interfered with by noise, therefore the robustness TFIs needs improved. This letter proposes a TFI denoising method based on neural networks contribute identifying waveforms at low signal-to-noise ratio (SNR). Firstly, network trained generate denoised spectrums from time-domain directly. Then...
Radar emitter signal recognition is a crucial means to distinguish unknown radars, and it depends on the high quality of received signals. However, signals Low probability intercept (LPI) radars are easily interfered with by noise, resulting in poor low accuracy. We propose pulse accumulation method improve for LPI radar recognition. Firstly, problem described. Then we time-domain alignment iterative (TAIM) effect accumulation. Finally, time-frequency images accumulated input deep residual...