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Structural design of an improved SPIDER optical system based on a multimode interference coupler.

Xiaohan Song, Yong Zuo, Tianjie Zeng

|October 20, 2023

Summary

An improved Segmented Planar Imaging Detector for Electro-Optical Reconnaissance (SPIDER) system uses a multimode interference coupler to double spatial spectrum coverage. This enhancement leads to superior image restoration quality compared to the original SPIDER system.

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Area of Science:

Optics and Electro-Optical Engineering
Remote Sensing Technology
Signal Processing

Background:

Traditional long-distance detection relies on large aperture telescopes, which are bulky and power-intensive.
The Segmented Planar Imaging Detector for Electro-Optical Reconnaissance (SPIDER) offers a compact, lightweight, and low-power alternative.
Limitations in spatial spectrum coverage of the original SPIDER system hinder optimal image restoration.

Purpose of the Study:

To propose and evaluate an improved SPIDER system incorporating a multimode interference (MMI) coupler.
To enhance the spatial spectrum coverage of the SPIDER system.
To demonstrate the benefits of the MMI-SPIDER system for image restoration quality.

Main Methods:

Development of an MMI-SPIDER system by replacing the orthogonal detector with an MMI coupler.
Implementation of a three-point configuring method for lenslet setup.
Calculation of spatial spectrum values from MMI output currents.
Comparative performance analysis through system simulations.

Main Results:

The MMI-SPIDER system successfully doubles the spatial spectrum coverage compared to the original SPIDER.
Simulations confirm more complete spatial spectrum coverage in the MMI-SPIDER system.
The enhanced coverage directly translates to improved image restoration quality.

Conclusions:

The MMI-SPIDER system represents a significant advancement in electro-optical reconnaissance technology.
Replacing orthogonal detectors with MMI couplers is an effective strategy for enhancing spatial spectrum coverage.
The MMI-SPIDER system offers superior performance for long-distance detection and image restoration.