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Hardware architecture of the proposed FFT processor.

Journal: Sensors (Basel, Switzerland)

Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

doi: 10.3390/s21196443

Figure Lengend Snippet: Hardware architecture of the proposed FFT processor.

Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

Techniques:

FPGA platform configuration for the verification of the proposed FFT processor.

Journal: Sensors (Basel, Switzerland)

Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

doi: 10.3390/s21196443

Figure Lengend Snippet: FPGA platform configuration for the verification of the proposed FFT processor.

Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

Techniques:

Comparison of the proposed FFT processor with those from previous studies.

Journal: Sensors (Basel, Switzerland)

Article Title: FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

doi: 10.3390/s21196443

Figure Lengend Snippet: Comparison of the proposed FFT processor with those from previous studies.

Article Snippet: Comparing the execution time of windowing, 2D FFT, magnitude/phase calculation, and accumulation, the proposed processor significantly shortened it 7.32 times compared to the Xilinx FFT processor.

Techniques:

Resource comparison between 16,384-point fixed-point FFT processor and single precision floating-point FFT processor.

Journal: Sensors (Basel, Switzerland)

Article Title: A Spaceborne Synthetic Aperture Radar Partial Fixed-Point Imaging System Using a Field- Programmable Gate Array—Application-Specific Integrated Circuit Hybrid Heterogeneous Parallel Acceleration Technique

doi: 10.3390/s17071493

Figure Lengend Snippet: Resource comparison between 16,384-point fixed-point FFT processor and single precision floating-point FFT processor.

Article Snippet: The customized fixed-point FFT is implemented using the 130 nm complementary metal oxide semiconductor (CMOS) technology as a co-processor of the Xilinx xc6vlx760t FPGA.

Techniques: Comparison, Blocking Assay