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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Programmable low-coherence wavefronts for enhanced localization.

Burak Bilgin¹, Jy-Chin Liao², Hou-Tong Chen³

¹Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA. bb63@rice.edu.

Communications Engineering

|October 16, 2025

Summary

This summary is machine-generated.

We developed a new method for creating broadband reconfigurable wavefronts. This technique improves localization accuracy by an order of magnitude, advancing sensing and communication technologies.

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Area of Science:

Electromagnetic wave engineering
Optical physics
Signal processing

Background:

Controlling electromagnetic wavefronts is crucial for modern technologies like imaging and wireless communication.
Low spatial coherence wavefronts offer potential for high-accuracy, low-latency sensing.
Existing methods lack dynamic reconfigurability and broad spectral bandwidth for wavefronts.

Purpose of the Study:

To propose a novel approach for generating broadband reconfigurable wavefronts.
To enable wavefronts with low spatial coherence and frequency-domain decorrelation.
To enhance localization measurement accuracy.

Main Methods:

Development of a new technique for generating broadband reconfigurable wavefronts.
Achieving low spatial coherence at specific frequencies.
Ensuring decorrelation between wavefronts at different frequencies.
Demonstrating dynamic reconfigurability over a broad spectral bandwidth.

Main Results:

Successful generation of broadband reconfigurable wavefronts with low spatial coherence.
Demonstration of frequency-domain decorrelation between simultaneously generated wavefronts.
Achieved an order-of-magnitude improvement in localization accuracy compared to state-of-the-art methods.

Conclusions:

The proposed approach enables advanced wavefront engineering for sensing applications.
Frequency-domain decorrelation is a key feature for enhanced localization.
This work paves the way for next-generation sensing and communication systems.