Advanced Payload Develop & Spt

Abstract

The Advanced Payloads Development project is a shared funding line between multiple payload programs. These payload programs support the Army's transformation by developing Reconnaissance, Surveillance and Target Acquisition (RSTA) and Intelligence, Surveillance and Reconnaissance (ISR) payload systems for Brigade Combat Teams, Divisions, and Corps Unmanned Aircraft Systems (UAS). This is in accordance with Headquarters Department of the Army (HQDA) and Training and Doctrine Command (TRADOC) UAS priorities. Additionally, this Program Element (PE) supports Future Advanced Payloads for Army UAS systems. The Common Sensor Payload (CSP) is an Electro Optical / Infrared / Laser Designator (EO/IR/LD) payload that provides High Definition (HD) Full Motion Video (FMV) in both the EO and Mid Wave IR (MWIR) spectrums with day/night capability to collect and display continuous imagery and the ability to designate targets of interest for attack by laser guided precision weapons. CSP is the EO/IR/LD sensor for the Gray Eagle UAS which supports force applications, battlespace awareness, force protection, and net-centric operations across the battlefield to provide wide area, near real time RSTA capabilities. Current product improvements continue to focus on the development and implementation of technologies that directly support emerging requirements of the Army's Current and Future Force. CSP Version 3 (v3) is the next procurable solution of CSP and resolves obsolescence issues present on legacy (v1 & v2) CSP configurations. Target Location Accuracy (TLA) is a software capability specific to CSP v3 that improves target mensuration. The Army Acquisition Objective (AAO) for CSP is based on aircraft/ platform quantities; specifically, one CSP per Gray Eagle UAS plus spares. 0305204A 11A has no Fiscal Year (FY) 2025 funding request.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2025
Source ID
11A_0305204A_7_2040_PB_2025

Tags

Readers

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

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Directed Energy

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