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FPGA Implementation of Efficient CFAR Algorithm for Radar Systems.

Yunseong Sim1, Jinmoo Heo2, Yongchul Jung3

  • 1School of Electronics and Information Engineering, Korea Aerospace University, Goyang-si 10540, Republic of Korea.

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Summary

A novel constant false-alarm rate (CFAR) algorithm enhances radar target detection in complex environments. This efficient algorithm achieves high detection probability and is suitable for real-time applications.

Keywords:
automotive radarconstant false alarm ratedrone detection radarfield programmable gate arrayradar signal processingtarget detection

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Area of Science:

  • Radar Signal Processing
  • Digital Signal Processing
  • Electronic Engineering

Background:

  • Constant False-Alarm Rate (CFAR) algorithms are crucial for radar target detection.
  • Existing CFAR algorithms struggle with nonhomogeneous environments and high computational demands.
  • Real-time radar applications require efficient and accurate target detection methods.

Purpose of the Study:

  • To propose a new CFAR algorithm for improved target detection in diverse radar environments.
  • To enhance real-time applicability by reducing computational complexity.
  • To present a practical hardware implementation of the proposed CFAR algorithm.

Main Methods:

  • A novel decision criterion to determine signal environment and select optimal CFAR algorithms (MVI, ACCA-ODV).
  • Monte Carlo simulations to evaluate detection probability in homogeneous and nonhomogeneous environments.
  • Field-Programmable Gate Array (FPGA) implementation focusing on hardware complexity reduction and high-speed sorting architecture.

Main Results:

  • The proposed CFAR algorithm achieved a 93.8% detection probability at a 25 dB SNR.
  • Hardware implementation demonstrated reduced complexity and a fast operation time of 0.6 μs.
  • The FPGA implementation utilized 8260 LUTs and 3823 registers, confirming suitability for real-time systems.

Conclusions:

  • The new CFAR algorithm effectively detects targets in challenging radar environments.
  • The optimized hardware design ensures high performance and low complexity for real-time radar systems.
  • This work provides a practical and efficient solution for advanced radar signal processing applications.