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Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems.

Nikola Latinović1,2, Ilija Popadić2, Branko Tomić2

  • 1Department for Postgraduate Studies, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia.

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|February 15, 2022
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Summary
This summary is machine-generated.

This paper introduces a hardware and software platform for signal processing (SPP) in multi-spectral, electro-optical systems (MSEOS). The SPP efficiently handles demanding tasks like AI target detection and sensor fusion using FPGAs, microprocessors, and GPUs.

Keywords:
multi sensor electro-optical systemssmart sensorvideo processing platform

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Area of Science:

  • Electro-optical systems engineering
  • Computer engineering
  • Signal processing

Background:

  • Long-range, multi-spectral, electro-optical systems (MSEOS) integrate diverse sensors for complex applications.
  • These systems require robust platforms for controlling components and executing demanding signal processing algorithms.

Purpose of the Study:

  • To present a novel hardware and software platform for signal processing (SPP) tailored for MSEOS.
  • To enable efficient execution of computationally intensive algorithms such as AI-based target detection, tracking, and multi-sensory image fusion.

Main Methods:

  • The SPP architecture distributes processing tasks across a field-programmable gate array (FPGA), multicore microprocessor (MCuP), and graphics processing unit (GPU).
  • Multiple SPPs can be networked using Gbps Ethernet for load balancing.
  • Experimental validation was performed using typical algorithms on demonstrational MSEOS.

Main Results:

  • The SPP effectively manages and processes data from various sensors, including low-light, thermal, and short-wave infrared cameras, alongside laser range finders and radars.
  • Demonstrated successful execution of complex algorithms like video stabilization, AI target detection/tracking, and image fusion.
  • The distributed processing architecture showed efficiency in handling high computational loads.

Conclusions:

  • The developed SPP provides a powerful and flexible solution for advanced signal processing in MSEOS.
  • The platform's modular design allows for future upgrades with advancements in FPGA, MCuP, and GPU technology.
  • This system enhances the capabilities of electro-optical systems for surveillance, reconnaissance, and targeting applications.