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Radar Constant-Modulus Waveform Optimization for High-Resolution Range Profiling of Stationary Targets.

Wenzhen Yue1, Lin Li2, Yu Xin3

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Summary

Optimized constant-modulus (CM) radar waveforms significantly improve high-resolution range (HRR) profiling for stationary targets. This study derives performance bounds and designs novel CM waveforms for enhanced accuracy and stability in radar applications.

Keywords:
constant-modulus waveformhigh-resolution range profilingradar waveform optimizationstationary target

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Area of Science:

  • Radar Signal Processing
  • Waveform Design
  • Automatic Target Recognition

Background:

  • High-resolution range (HRR) profiles are crucial target signatures for applications like automatic target recognition.
  • Radar HRR profiling performance is critically dependent on the characteristics of the transmitted waveforms.
  • Constant-modulus (CM) waveforms offer potential advantages in radar systems.

Purpose of the Study:

  • To optimize constant-modulus (CM) waveforms for improved high-resolution range (HRR) profiling performance.
  • To enhance the stability and accuracy of HRR profiling for stationary targets.
  • To investigate fundamental performance bounds related to profiling ambiguity, stability, and accuracy.

Main Methods:

  • Derivation of fundamental bounds for HRR profiling ambiguity, stability, and accuracy.
  • Investigation of the unified nature of stability and accuracy in white noise conditions.
  • Design of novel CM radar waveforms (arbitrary-phase and QPSK) using a customized Gaussian randomization method.
  • Comparative analysis including Linear Frequency Modulation (LFM) waveforms.

Main Results:

  • Fundamental performance bounds for HRR profiling were established.
  • The study found that profiling stability and accuracy are unified in the white noise scenario.
  • Optimized CM waveforms demonstrated a dramatic enhancement in HRR profiling performance compared to unoptimized versions.
  • Numerical experiments validated the superior performance of the designed CM waveforms.

Conclusions:

  • Optimized constant-modulus waveforms significantly improve high-resolution range profiling for stationary targets.
  • The developed Gaussian randomization method effectively designs CM waveforms for enhanced radar performance.
  • The findings provide a pathway for developing more robust and accurate radar target recognition systems.