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RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

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Related Experiment Video

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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars.

Paul Berry¹, Ngoc Hung Nguyen², Hai-Tan Tran¹

¹Intelligence, Surveillance and Space Division, Defence Science and Technology Group, Edinburgh, SA 5111, Australia.

Sensors (Basel, Switzerland)

|January 30, 2020

Summary

This summary is machine-generated.

This study uses sparse reconstruction to combine radar data for better target recognition. Techniques were developed to synchronize radar signals, improving high range resolution (HRR) profiles for non-cooperative targets.

Keywords:

bandwidth stitching compressive sensing multiband processing radar imaging radar signal processing techniques sparse reconstruction

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Wideband Optical Detector of Ultrasound for Medical Imaging Applications

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Published on: May 11, 2014

Area of Science:

Radar Signal Processing
Target Recognition
Sparse Reconstruction

Background:

Non-cooperative target recognition requires high range resolution (HRR) profiles.
Combining data from multiple narrowband radars can increase effective bandwidth and resolution.
Challenges exist in synchronizing data from radars operating in different frequency bands.

Purpose of the Study:

To investigate coherent data combination from narrowband radars for HRR profiling.
To address challenges of unknown range offsets due to radar asynchronization.
To improve non-cooperative target recognition capabilities.

Main Methods:

Utilized sparse reconstruction techniques.
Explored pruned orthogonal matching pursuit (POMP) for offset estimation.
Applied refined L1-norm regularization solvers for channel offset estimation.
Coherently combined data from radars operating in different frequency bands.

Main Results:

Successfully estimated range offsets between radar channels.
Achieved necessary coherence for data combination.
Demonstrated enhanced resolution through effective bandwidth increase.
Validated techniques using simulated radar data.

Conclusions:

Sparse reconstruction effectively addresses synchronization issues in multi-band radar data.
The proposed methods enable improved HRR profiling for non-cooperative targets.
Accurate offset estimation is crucial for coherent radar data combination.