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Related Experiment Video

Updated: May 31, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and

Cong Qin^1,2,3, Qin Zhang¹, Guimei Zheng¹

¹Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China.

Sensors (Basel, Switzerland)

|January 25, 2025

Summary

This summary is machine-generated.

This study introduces a novel height measurement method for meter-wave Multiple Input Multiple Output (MIMO) radar, enhancing low-elevation target detection. The cognitive approach optimizes transmitted signals and receive filters for improved accuracy and reduced complexity.

Keywords:

MIMO radar beamforming technology cognitive processing method height measurement joint optimization of transmitted signal and receive filter

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Area of Science:

Radar Systems Engineering
Signal Processing
Electromagnetics

Background:

Low-elevation target height measurement presents significant challenges in radar systems.
Existing methods struggle with direct and reflected waves acting as interference.
Multiple Input Multiple Output (MIMO) radar offers potential but requires advanced signal processing techniques.

Purpose of the Study:

To develop an effective height measurement method for low-elevation targets using meter-wave MIMO radar.
To integrate beamforming and cognitive processing for enhanced target detection.
To optimize transmitted signals and receive filters for improved Signal-to-Interference-plus-Noise ratio (SINR).

Main Methods:

Establishment and analysis of a signal model for meter-wave MIMO radar in low-elevation scenarios.
Development of a joint optimization beamforming algorithm for transmitted signals and receive filters.
Transformation of a non-convex optimization problem into two sub-problems, solved via alternating iteration.

Main Results:

The proposed algorithm successfully achieves height measurement for low-elevation targets.
Simulation results demonstrate superior performance compared to Generalized Multiple Signal Classification (GMUSIC) and Maximum Likelihood (ML) algorithms.
The method shows improved computational complexity and multi-target elevation estimation capabilities.

Conclusions:

The novel cognitive processing approach provides a robust solution for low-elevation target height measurement in MIMO radar.
This method enhances radar system performance by effectively managing interference and optimizing signal processing.
The algorithm offers a promising advancement for radar applications requiring precise height estimation at low elevation angles.