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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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Related Experiment Video

Updated: Oct 18, 2025

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Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar.

Shiyi Li1,2, Na Wang1, Jindong Zhang1

  • 1Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Entropy (Basel, Switzerland)
|September 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces slow-time coding for airborne radar space-time adaptive processing (STAP) to enhance signal-to-clutter and noise ratio (SCNR). Optimized algorithms improve radar performance by designing transmitted codes for better signal detection.

Keywords:
code designmoving target detectingoptimization algorithmspace-time adaptive processing

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing

Background:

  • Space-time adaptive processing (STAP) is crucial for advanced airborne radar.
  • Improving signal-to-clutter and noise ratio (SCNR) is essential for radar performance.

Purpose of the Study:

  • To design slow-time codes for STAP in airborne radar.
  • To optimize transmitted codes for enhanced SCNR under energy constraints.

Main Methods:

  • Developed two algorithms based on convex optimization (CVX) and alternating direction (AD).
  • Optimized transmitted codes within a defined spatial-frequency and Doppler-frequency plane.
  • Provided parameter selection criteria for the optimization process.

Main Results:

  • Demonstrated the feasibility and effectiveness of the proposed optimization algorithms.
  • Showcased improvements in SCNR through numerical examples.
  • Validated the application of slow-time coding for STAP enhancement.

Conclusions:

  • Slow-time code design is an effective strategy for improving SCNR in airborne radar STAP.
  • The proposed CVX and AD-based algorithms offer viable solutions for optimizing radar signal processing.
  • This work contributes to the advancement of airborne radar capabilities through enhanced signal detection.