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2011 Annual Report - MIT Lincoln Laboratory

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technology investments<br />

Basic and Applied Research<br />

The <strong>2011</strong> technical investments serve to ensure the rapid transfer of basic and applied research<br />

into the defense applications of the <strong>Laboratory</strong>’s sponsors and to strengthen interactions with the<br />

<strong>Laboratory</strong>’s academic partners.<br />

Signal Processing for Graphs<br />

The ability to identify interesting groups and<br />

group behaviors in a wide range of networks<br />

is of growing interest to the Department of<br />

Defense (DoD) and intelligence community.<br />

<strong>Lincoln</strong> <strong>Laboratory</strong> staff and a Harvard<br />

University professor are addressing this<br />

difficult problem by using statistical detection<br />

theory that has traditionally been applied to<br />

signals and images. The results achieved so<br />

far show that the emerging techniques can<br />

detect subtle group formations and behaviors<br />

in the presence of noisy and very large<br />

background graphs or networks. The<br />

<strong>Laboratory</strong> is looking to apply these<br />

techniques to identify threat networks<br />

in large social networks or to discover<br />

staging sites from vehicle tracking data.<br />

Imaging into Obscured Areas<br />

<strong>Lincoln</strong> <strong>Laboratory</strong> staff and the <strong>MIT</strong> Media<br />

Lab are working to demonstrate laser imaging<br />

around corners and into rooms or areas. The<br />

Media Lab has developed the theoretical basis<br />

for the image reconstruction for this technique.<br />

Their reconstruction algorithms demonstrated novel<br />

properties and were applied to simulated data and<br />

laboratory measurements over short distances. The<br />

<strong>Laboratory</strong> is looking to apply this research to DoD<br />

missions because it may offer significant capability in<br />

support of urban and Special Forces operations.<br />

Liquid Crystal Thermal Imager<br />

Uncooled thermal detectors have become an indispensible<br />

sensor technology in military long-wave<br />

infrared (LWIR) imaging applications. The <strong>Laboratory</strong><br />

is developing a detector that uses sensitive liquid<br />

crystals to detect small changes in temperature<br />

created by an infrared image. This novel approach<br />

combines the liquid crystal detection with readout<br />

of the image by using a low-cost, solid-state imager<br />

(charge-coupled device or CMOS active pixel sensor).<br />

Separating the infrared-to-visible conversion process<br />

from the electronic readout enables independent<br />

optimization of components for greater performance<br />

at lower costs.<br />

12 <strong>2011</strong> <strong>Annual</strong> <strong>Report</strong><br />

Quantum Cascade Lasers<br />

In collaboration with Harvard University, <strong>Lincoln</strong><br />

<strong>Laboratory</strong> has been developing advanced quantum<br />

cascade laser (QCL) technology for potential use in<br />

a variety of DoD applications. In particular, compact<br />

arrays of individually addressable (wavelength<br />

selectable), watt-class, LWIR semiconductor laser<br />

sources would have great utility as rapidly tunable<br />

optical sources in spectroscopy-based chemical and<br />

biological detection systems. The technical effort at<br />

<strong>Lincoln</strong> <strong>Laboratory</strong> has focused on the challenging<br />

epitaxial growth of high-performance QCL device<br />

structures, individual QCL device fabrication, and<br />

integration of QCL arrays into wavelength-beamcombined<br />

system demonstrations.<br />

Novel graph algorithm<br />

techniques enable<br />

detection of anomalous<br />

patterns in network<br />

traffic.

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