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Eigenvalue Adjustment-Based STAP in Airborne MIMO Radar Under Limited Snapshots.

Chao Xu¹, Qizhen Feng¹, Zhao Wang¹

¹Civil Aviation Flight University of China, Deyang 618307, China.

Sensors (Basel, Switzerland)

|March 14, 2026

Summary

This study introduces a new method for estimating covariance matrices in airborne radar, improving performance with limited data. The eigenvalue adjustment technique enhances clutter-plus-noise covariance matrix estimation for reliable space-time adaptive processing.

Keywords:

covariance matrix estimation limited snapshots multiple-input multiple-output space-time adaptive processing

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Published on: May 1, 2018

Area of Science:

Radar Systems Engineering
Signal Processing
Random Matrix Theory

Background:

The covariance matrix is crucial for airborne multiple-input multiple-output (MIMO) radar's space-time adaptive processing (STAP).
Accurate estimation of the clutter-plus-noise covariance matrix (CPNCM) is essential for MIMO-STAP performance.
Traditional methods require numerous snapshots, which are often impractical for airborne radar systems.

Purpose of the Study:

To develop a novel covariance matrix estimation method for airborne MIMO-STAP radar under limited snapshot conditions.
To enhance the estimation of the CPNCM by adjusting noise and clutter sample eigenvalues.
To enable reliable implementation of MIMO-STAP with improved performance and robustness.

Main Methods:

A novel covariance matrix estimation method inspired by random matrix theory.
Eigenvalues adjustment (EA) technique applied to noise and clutter samples.
Adjustment of noise eigenvalues to noise power and clutter eigenvalues by minimizing radar output power.

Main Results:

An effective CPNCM is formulated using adjusted eigenvalues and sample eigenvectors.
The proposed EA-MIMO-STAP method demonstrates superior performance.
Experimental results confirm the robustness of the EA-MIMO-STAP approach.

Conclusions:

The developed eigenvalue adjustment method significantly improves CPNCM estimation accuracy in limited snapshots.
EA-MIMO-STAP offers a reliable and robust solution for airborne MIMO radar.
The method addresses the practical challenge of insufficient snapshots in MIMO-STAP systems.