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Moving target detection for frequency agility radar by sparse reconstruction.

Yinghui Quan1, YaChao Li1, Yaojun Wu1

  • 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, People's Republic of China.

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Frequency agility radar offers better protection against electromagnetic interference. A new method uses sparse reconstruction for improved moving target detection and velocity estimation in these advanced radar systems.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Conventional pulse-Doppler radar with fixed carrier frequency is vulnerable to electromagnetic interference.
  • Frequency agility radar, varying carrier frequency pulse-to-pulse, enhances resilience against interference.
  • Accurate moving target detection and velocity estimation are critical for radar performance.

Purpose of the Study:

  • To propose a novel moving target detection (MTD) method for frequency agility radar.
  • To estimate target velocity using sparse reconstruction within a coherent processing interval.
  • To implement and evaluate the proposed MTD method on hardware.

Main Methods:

  • Utilizing sparse reconstruction for target velocity estimation in frequency agility radar.
  • Implementing the orthogonal matching pursuit algorithm on a Xilinx Virtex-7 Field Programmable Gate Array (FPGA).
  • Conducting experimental evaluations to validate the MTD method's performance.

Main Results:

  • The proposed MTD method demonstrates effective moving target detection and velocity estimation for frequency agility radar.
  • Hardware implementation on FPGA enables efficient sparse optimization for real-time processing.
  • Experimental results confirm the superior performance of the novel MTD approach.

Conclusions:

  • The developed MTD method offers a robust solution for frequency agility radar systems.
  • Sparse reconstruction provides an effective means for enhancing radar target detection and velocity estimation.
  • The FPGA-based implementation facilitates practical application of advanced signal processing techniques in radar.