Content area
The unmanned aerial vehicle (UAV)-borne video synthetic aperture radar (SAR) possesses the characteristic of having high-continuous-frame-rate imaging, which is conducive to the real-time monitoring of ground-moving targets. The real-time imaging-processing system for UAV-borne video SAR (ViSAR) requires miniaturization, low power consumption, high frame rate, and high-resolution imaging. In order to achieve high-frame-rate real-time imaging on limited payload-carrying platforms, this study proposes a miniaturization design of a high-integration UAV-borne ViSAR real-time imaging-processing component (MRIPC). The proposed design integrates functions such as broadband signal generation, high-speed real-time sampling, and real-time SAR imaging processing on a single-chip FPGA. The parallel access mechanism using multiple sets of high-speed data buffers increases the data access throughput and solves the problem of data access bandwidth. The range-Doppler (RD) algorithm and map-drift (MD) algorithm are optimized using parallel multiplexing, achieving a balance between computing speed and hardware resources. The test results have verified that our proposed component is effective for the real-time processing of 2048 × 2048 single-precision floating-point data points to realize a 5 Hz imaging frame rate and 0.15 m imaging resolution, satisfying the requirements of real-time ViSAR-imaging processing.
Details
Algorithms;
Radar;
Frames per second;
Signal processing;
Broadband;
Unmanned aerial vehicles;
Power consumption;
Radar imaging;
Design;
Miniaturization;
Floating point arithmetic;
Field programmable gate arrays;
Data points;
Signal generation;
Fourier transforms;
Synthetic aperture radar;
Moving targets;
High speed;
Multiplexing;
Real time;
Ground stations
; Wang, Tong 1 ; Zheng, Nannan 1 ; Zhang, Shuangxi 2 ; Meng, Fanteng 1 ; Zhang, Xinyu 1 ; Wu, Qirui 1
1 School of Aerospace Science and Technology, Xidian University, Xi’an 710126, China;
2 School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China;