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Robust Transmit Beamforming Algorithm for Low-Altitude Slow-Speed Small Target Detection.

Songpo Jin¹, Hongtao Li², Pengyi Wang¹

¹The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China.

Computational Intelligence and Neuroscience

|June 20, 2022

Summary

A new transmit beamforming algorithm effectively suppresses ground clutter, improving detection of low-altitude, slow-speed, small targets. This method enhances radar performance by focusing energy towards the air, simplifying detection processes.

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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

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Published on: March 6, 2019

Area of Science:

Radar Systems Engineering
Signal Processing
Convex Optimization

Background:

Detection of low-altitude, slow-speed, small (LSS) targets is significantly hindered by strong ground clutter echoes in radar systems.
Existing methods often struggle to adequately suppress ground clutter while maintaining sensitivity for LSS targets.

Purpose of the Study:

To develop and validate a robust transmit beamforming algorithm specifically designed for effective ground clutter suppression.
To enhance the detection capabilities for low-altitude, slow-speed, small targets in challenging radar environments.

Main Methods:

A novel transmit beamforming algorithm is proposed to reduce sidelobes on the ground side and concentrate energy on the air side.
The algorithm formulates the objective function as a second-order cone programming problem, solvable via convex optimization.
Weight vectors are further optimized under a unimodular constraint to maximize the utilization of transmit power.

Main Results:

The proposed algorithm successfully suppresses ground clutter, leading to a cleaner signal on the air side.
Numerical experiments demonstrate the algorithm's validity and superiority compared to existing methods.
Enhanced detection of low-altitude, slow-speed, small targets is achieved due to reduced clutter interference.

Conclusions:

The developed robust transmit beamforming algorithm offers a significant advancement in suppressing ground clutter for LSS target detection.
The method provides a practical and effective solution for improving radar performance in environments with strong ground interference.