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Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

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Published on: February 28, 2016

Explicit description of polarization coupling in lidar applications.

Matthew Hayman¹, Jeffrey P Thayer

¹Department of Electrical and Computer Engineering, University of Colorado, Boulder, CO 80309, USA. matthew.hayman@colorado.edu

|March 3, 2009

Summary

Depolarization lidar measurements can be improved by accounting for channel crosstalk. A new algorithm decouples parallel and cross-polarization data, enhancing lidar accuracy without extra measurements.

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Area of Science:

Atmospheric Optics
Remote Sensing
Lidar Technology

Background:

Depolarization lidar measures atmospheric properties by analyzing polarized and unpolarized backscattered light.
Accurate measurements require distinguishing between parallel and cross-polarized signals.
Optical components can introduce crosstalk, affecting the independence of polarization channels in lidar systems.

Purpose of the Study:

To analyze a general lidar receiver design.
To develop an algorithm for decoupling polarization channels in depolarization lidar.
To improve the accuracy of lidar measurements by addressing channel coupling.

Main Methods:

Analysis of a generalized lidar receiver.
Development of a data decoupling algorithm.
Utilizing standard parallel- and cross-polarization lidar data.

Main Results:

The study presents a method to decouple received lidar data.
The algorithm effectively addresses channel coupling issues.
This method relies only on standard parallel- and cross-polarization measurements.

Conclusions:

The proposed algorithm accurately decouples polarization channels in lidar data.
This approach overcomes limitations of traditional calibration constants.
Enhanced accuracy in depolarization lidar measurements is achievable with this method.