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Related Experiment Video

Updated: Jul 30, 2025

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

Colocated MIMO Radar Waveform-Array Joint Optimization for Sparse Array.

Jinrong Yin¹, Rui Ma², Mingcong Lin²

¹Nanjing Institute of Electronic Technology, Najing 210039, China.

Sensors (Basel, Switzerland)

|May 13, 2023

Summary

Colocated multiple-input multiple-output (MIMO) radar optimizes waveforms and element spacing for improved performance. Joint optimization enhances beampattern matching and reduces sidelobes, but benefits from spacing have limits.

Keywords:

array optimization colocated MIMO radar range sidelobe suppression sparse array waveform optimization

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Last Updated: Jul 30, 2025

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

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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

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Published on: July 30, 2020

Area of Science:

Electrical Engineering
Signal Processing
Radar Systems

Background:

Colocated multiple-input multiple-output (MIMO) radar utilizes waveform diversity for advantages over conventional phased-array radar.
Radar performance is significantly influenced by available degrees of freedom, including element spacing.

Purpose of the Study:

To investigate the joint optimization of waveforms and element spacing in colocated MIMO radar.
To develop an optimization criterion balancing beampattern matching, suppression range, and sidelobe levels.

Main Methods:

A joint waveform and array optimization criterion was proposed.
Constraints included minimal element spacing and total array aperture.
Receive beamforming's role in suppressing mutual correlation was incorporated.
Sequential quadratic programming was used to solve the optimization problem.

Main Results:

Optimizing array spacing alongside waveforms improves transmit beampattern matching.
Increased degrees of freedom from array spacing lead to lower sidelobe levels.
The benefits of additional degrees of freedom from array spacing optimization are finite.

Conclusions:

Joint optimization of waveforms and element spacing is crucial for colocated MIMO radar.
Array spacing offers additional degrees of freedom that enhance radar performance.
There is a limit to the performance gains achievable through array spacing optimization.