ARL Payloads ADV DEV (MIP)

Abstract

Airborne Reconnaissance Low - Enhanced (ARL-E) is a worldwide self-deployable airborne Intelligence Surveillance Reconnaissance (ISR) system designed for timely, accurate, assured support to tactical forces over the full spectrum of operations. This system is a De Havilland DHC-8 aircraft replacing the DHC-7 IAW the Aerial ISR (AISR) 2020 Strategy. ARL-E will enhance the ARL-M sensor capability sets through the procurement of new and refurbished sensors to meet the ARL-E Capabilities Production Document (CPD) requirements. It provides a persistent capability to include: Broad-Area Surveillance and/or Focused Stare on Target Areas of Interest (Point or Objective Targets), Electro-Optical/Infrared (EO/IR)/Full-Motion Video (FMV) , Multi-Mode Radar, Robust Communications Intelligence (COMINT), on-Board Collection, Analysis, Sensor Cross Cue and dissemination through Distributed Common Ground System-Army (DCGS-A) Enabled workstations. ARL-E will be assigned to the U.S. Army Intelligence and Security Command's Aerial ISR Brigade providing AISR support to combatant commanders. For the overall system, the Army Acquisition Objective and the Army Procurement Objective, is nine. The Mission Equipment Package (MEP) objective is eight. Fiscal Year (FY) 2017 funding of $11.669 million completes the Long Range Radar (LRR) effort, and initiates new signal enhancement efforts. This funding line supports development and testing of the LRR to replace the current ARL Phoenix Eye Radar to meet the increased performance requirements of the Appendix J Payload for ARL-E approved CPD. LRR effort will add required SAR modes, address obsolescence, Information Assurance (IA) issues, and improved probability at greater required ranges. Effort will produce a prototype and conduct flight testing to characterize the prototype performance. Funding is planned for test and evaluation of LRR capability integrated in ARL-E system. Also, it supports the software development to enhance COMINT collection capabilities to effectively prosecute high priority and emerging modern signal emitters.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2017
Source ID
EH5_0305206A_7_2040_PB_2017

Tags

Fields of Study

  • Engineering

Readers

  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

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