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Coherent MIMO radar network enabled by photonics with unprecedented resolution.

Salvatore Maresca, Filippo Scotti, Giovanni Serafino

|July 16, 2020

Summary

This study introduces a novel photonics-enabled distributed coherent multiple input-multiple output (MIMO) radar system. This advanced radar technology significantly enhances data fusion capabilities, leading to unprecedented resolution and reduced false alarms.

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Area of Science:

Electrical Engineering
Photonics
Radar Systems

Background:

Conventional radar systems operate as independent units, limiting data fusion capabilities.
Existing distributed radar systems struggle with coherence and high-capacity links, hindering performance.
Current data fusion methods in distributed systems utilize only partial information, compromising imaging quality.

Purpose of the Study:

To present the first extended analysis and experiment of a photonics-enabled distributed coherent MIMO radar system.
To maximize information extraction through centralized data fusion for enhanced resolution.
To leverage photonics for achieving coherence and high-capacity links among distributed radars.

Main Methods:

Development and analysis of a distributed coherent MIMO radar system utilizing photonics.
Implementation of photonics for inter-radar coherence and high-capacity communication links.
Numerical analysis of coherent multi-band operation for performance optimization.

Main Results:

Demonstrated unprecedented resolution capabilities through maximized information extraction in centralized data fusion.
Photonics successfully enabled coherence and high-capacity links between distributed radars.
Numerical analysis confirmed benefits of coherent multi-band operation for sidelobe reduction.

Conclusions:

Photonics integration in distributed MIMO radar systems offers superior performance over conventional radio-frequency systems.
The proposed system overcomes limitations of current distributed radar architectures by enabling full information exploitation.
Coherent multi-band operation is a key factor in reducing false alarms and improving radar imaging.