DARPA-BAA-10-19 Modification 1.doc
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- Information in a Photon (InPho) Federal contract opportunity
- Solicitation number
- DARPA-BAA-10-19
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The purpose of this Modification 1 to DARPA-BAA-10-19 is to make changes to Part Two Full Text of Announcement 1. FUNDING OPPORTUNITY DESCRIPTION Table 1 Program Thrusts Technical Areas and Goals.
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| File | Type | Posted |
|---|---|---|
| DARPA-BAA-10-19.doc | DOC document | |
| Appendix A and B.pdf |
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The purpose of this Modification 1 to DARPA-BAA-10-19, Information in a Photon (InPho), is to make the following changes to the announcement:
The following sections are revised as follows:
Part Two: Full Text of Announcement
I. Funding Opportunity Description
Table 1: Program Thrusts, Technical Areas and Goals
| Thrust |
| Tech Areas and end-of-program goals |
Scientific Foundation Objective: Rigorously quantify the photon information content for communications and imaging applications in both the classical and quantum domains.
Establish unified information theoretic formalism encompassing both classical and quantum photon information.
Imaging Objective: Develop novel methodologies to maximize the scene information that can be extracted from received photons in future imaging / sensing platforms.
Classical: Demonstrate VIS/IR imaging reconstruction† with average photon efficiencies ≥ 1 bpp OR task-specific performance‡ ≥ 5 bpp.
Quantum: Demonstrate VIS/IR imaging reconstruction† with average photon efficiencies ≥ 1 bpp OR task-specific performance‡ ≥ 5 bpp.
Communications Objective: Develop novel methodologies to maximize the information content of transmitted / received photons in future communication systems.
Classical: Demonstrate optical communication that simultaneously provides photon efficiencies of 10 bpp and spectral efficiencies of 5 bits/sec/Hz.
Quantum: Demonstrate optical communication that simultaneously provides photon efficiencies of 10 bpp and secure data rates of > 1 Gbps.
† Reconstruction must be visually satisfying and demonstrate a root mean square error (RMSE) ≤ 1% of the pixel dynamic range.
‡ Task-specific performance must be reliable with a probability of error ≤ 10-3. Candidate tasks include Automated Target Recognition (ATR), tracking, Ground Moving Target Indication (GMTI), etc.
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