DEPT OF DEFENSE | MISSILE DEFENSE AGENCY (MDA) has floated a tender for Advanced Object Classification AOC 11. The project location is USA and the tender is closing on 17 Oct 2025. The tender notice number is MDA-10-3-25, while the TOT Ref Number is 127529887. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country: USA

Summary: Advanced Object Classification AOC 11

Deadline: 17 Oct 2025

Other Information

Notice Type: Tender

TOT Ref.No.: 127529887

Document Ref. No.: MDA-10-3-25

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

Advanced Object Classification (AOC) 1.1 is a software upgrade for Upgraded Early Warning Radars (UEWR) that will improve classification of objects in the midcourse phase of ballistic missile flight. AOC 1.1 will build off improvements made to UEWR classification achieved through development and fielding of AOC 1.0. While testing and fielding AOC 1.0, the Government identified minor algorithm opportunities as well as Interface Control Document-driven updates that must be incorporated into AOC 1.1. Additionally, the Government envisions AOC 1.1 will have a flat-file classification database that can be re-configured without re-compiling software changes. This capability will enable AOC rapid reconfiguration to address emerging threats without requiring the Government to return to the developer for software updates, assessments, or other modifications. AOC Overview: Contains 37 algorithms increasing object classification accuracy against complex threats with countermeasures Uses machine learning to improve overall classification results Requires no change to radar hardware, waveforms, pulse scheduling, or Ground-based Midcourse Defense (GMD) Fire Control (GFC) interface message format Core Capabilities: AOC 1.1 will incorporate additional algorithm updates and enhancements beyond AOC 1.0 to further improve object classification accuracy and system performance. REQUESTED INFORMATION: Respondents to this RFI are invited to prepare and submit the following: Describe your experience with threat object classification for ballistic missile defense during the midcourse phase of flight, specifically as it relates to Radio Frequency (RF) phenomenology. In your response, discuss the types of RF features you have analyzed or exploited to distinguish between objects. Additionally, elaborate on the classification algorithms you have developed or implemented, the types of data (simulated or measured) you have worked with, and any challenges you have encountered in a...
Notice ID :MDA-10-3-25 ☺ Related Notice (blank) ☺ Contract Opportunity Type Sources Sought☺ Contract Line Item Number (blank)☺ Inactive Dates Nov 01, 2025☺ Inactive Policy 15 days after response date☺ Response Date Oct 17, 2025 6:00 PM EDT☺ Published Date Oct 03, 2025 4:54 PM EDT☺
Department/Ind. Agency :DEPT OF DEFENSE Sub-tier MISSILE DEFENSE AGENCY (MDA) Major Command (blank) Sub Command 1, 2, 3 (blank) Office MISSILE DEFENSE AGENCY (MDA)Classification Original Set Aside No Set aside used Product Service Code (blank) NAICS Code (blank) Place of Performance (blank) Initiative None DescriptionAdvanced Object Classification (AOC) 1.1 is a software upgrade for Upgraded Early Warning Radars (UEWR) that will improve classification of objects in the midcourse phase of ballistic missile flight. AOC 1.1 will build off improvements made to UEWR classification achieved through development and fielding of AOC 1.0. While testing and fielding AOC 1.0, the Government identified minor algorithm opportunities as well as Interface Control Document-driven updates that must be incorporated into AOC 1.1. Additionally, the Government envisions AOC 1.1 will have a flat-file classification database that can be re-configured without re-compiling software changes. This capability will enable AOC rapid reconfiguration to address emerging threats without requiring the Government to return to the developer for software updates, assessments, or other modifications. AOC Overview: Contains 37 algorithms increasing object classification accuracy against complex threats with countermeasures Uses machine learning to improve overall classification results Requires no change to radar hardware, waveforms, pulse scheduling, or Ground-based Midcourse Defense (GMD) Fire Control (GFC) interface message format Core Capabilities: AOC 1.1 will incorporate additional algorithm updates and enhancements beyond AOC 1.0 to further improve object classification accuracy and system performance. ...

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