KEYWORDS: Data processing, Signal processing, Radar signal processing, Pulse signals, Field programmable gate arrays, Frequency modulation, Radar, Digital signal processing, Data transmission
FMCW (frequency modulation continuous wave) radar can achieve range measurement without blind zones. Pulse compression is an indispensable processing technique for improving range resolution in radar systems. General processing procedures for pulse compression of the FMCW signal include data reading with software, fast Fourier transforming (FFT) in an embedded processor, and data saving in memory. However, it is hard to achieve real-time processing of FMCW signals. In this paper, a real-time pulse compression processing technology of FMCW signal based on field programmable gate array (FPGA) is proposed. First, the processing system (PS) in FPGA receives the data sent by the upper computer and transmits the data to the programmable logic (PL) through direct memory access (DMA) to realize data zero filling. Then a window function is added with the parallel pipeline method. Finally, the processing results are transmitted to the upper computer through a gigabit network based on the User Datagram Protocol (UDP) protocol on the PS end, and displayed in real-time. The experimental results prove that this method can achieve real-time processing of FMCW signals on FPGA.
Backward projection (BP) imaging algorithm is widely used in the field of synthetic aperture radar (SAR) imaging. Due to large amount of computation, which is not conducive to real-time imaging. In this paper, a fast BP imaging algorithm that suitable for ground-based arc synthetic aperture radar (GB-ArcSAR) is proposed. The algorithm uses the oblique shift invariance during BP imaging and the symmetry of the oblique matrix of the imaging area to reduce the redundant calculations. The effectiveness and imaging performances of the algorithm are verified by simulating.
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