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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

An Imaging Plane Calibration Method for MIMO Radar Imaging.

Yuanyue Guo¹, Bo Yuan¹, Zhaohui Wang¹

¹Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230026, China.

Sensors (Basel, Switzerland)

|December 5, 2019

Summary

This summary is machine-generated.

Imaging plane mismatch in radar can blur aerial target images. This study introduces a particle swarm optimization algorithm to accurately estimate imaging plane parameters, improving image clarity for better aerial target detection.

Keywords:

Particle Swarm Optimization (PSO)imaging plane calibration algorithm (IPCA)multiple-input multiple-output (MIMO) radar two-dimensional radar imaging

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

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Published on: May 1, 2018

Area of Science:

Radar imaging
Signal processing
Target detection

Background:

Non-cooperative aerial target movement causes deviations in estimated imaging plane parameters.
These deviations, termed imaging plane mismatch, lead to image defocusing in 2D Cross-Range MIMO radar systems.

Purpose of the Study:

To analyze the impact of imaging plane mismatch on spatial spectrum.
To develop a calibration algorithm for accurate imaging plane parameter estimation.
To improve image focusing performance for aerial targets.

Main Methods:

Analysis of spatial spectrum deviations and errors caused by imaging plane mismatch.
Deduction of a calibration operation for accurate parameter acquisition.
Proposal of a particle swarm optimization (PSO)-based algorithm for imaging plane parameter estimation.

Main Results:

The proposed algorithm accurately estimates imaging plane parameters.
Successful correction of spatial spectrum deviations.
Significant improvement in image focusing performance was demonstrated via simulations.

Conclusions:

The developed imaging plane calibration algorithm effectively addresses mismatch issues.
PSO-based parameter estimation enhances the accuracy and clarity of radar images for aerial targets.
The method shows promise for improved aerial target identification in radar systems.