An adaptive CFAR embedded system architecture for target detection
Belwafi, Kais . 2013
This paper presents field-programmable gate array (FPGA)-based novel forward and backward automatic censored cell algorithms using a Nios II core processor embedded on a Stratix II FPGAprogrammable device. These algorithms were recently presented for target detection in a nonhomogeneous environment, and they operate in a complementary manner to allow for high-resolution target detection with a time constraint fixed below 0.5 μs. The ACOSD-based constant false alarm rate detector does not require any prior information regarding the background environment and employs statistical analysis to dynamically calculate the threshold at which the ordered cells under investigation are accepted or rejected. The advantages of the proposed system lie in its simplicity and short processing time while maintaining a low development cost. For a reference window of 16 range cells, the experimental results obtained using the Stratix II development kit demonstrate that the proposed architecture works properly with a processing speed of 100 MHz and an overall detector execution time of 0.11 μs for each range cell. The designed hardware, which is an example of system-on-chip architecture, was physically realized in a Stratix IIFPGA device, and the results are presented and discussed.
This paper presents an efficient HW/SW Codesign
FPGA-based architecture of B-ACOSD CFAR target detector in
log normal distribution for radar system. All CFAR system
modules are…
This paper presents a practical design exploration for a new application related to real-time, high-resolution target detection for radar systems. In this paper, an embedded architecture that…