This invention consists of a combination of two novel algorithms that can be used to detect and identify the explosive materials that a person may carry concealed under clothing. In order to apply these algorithms, an electromagnetic radar system must be used to measure the response of the geometry of the explosive concealed under any objects. The collected scattered data is then processed using the proposed algorithms.
Technology Overview
Northeastern researchers have developed a combination of two novel algorithms: 
Algorithm #1: Phase‑based imaging algorithm, which is used to create an image of the object of interest. It can be used to distinguish between metallic and dielectric explosives.
Algorithm #2: Based on measuring the first reflection produced on the surface of the explosive compound and the second reflection produced on the surface of the person to find the dielectric constant of the explosive compound.
The radar system used in this invention is configured to collect data for Multiple Frequencies, Multiple Transmitters and Multiple Receivers (MF‑MTMR). A general MF‑MTMR is configured to well-known radar configurations: 
1) Multiple monostatic ‑‑ wherein the transmitter and receiver are located on the same relative position
2) Multiple Bistatic ‑‑ wherein the transmitter and receiver may not be located in the same relative position
- Can work with multiple‑bi‑static configurations
- Can work with data that may have been collected in a non‑uniform way, in both spatial and frequency domains. Therefore, thin arrays can be used to collect the scattered data, and the antennas do not have to be separated
- The information can be collected for a single transmitter and multiple receivers in a very short period of time, and no movement of the antennas in the system is required.
- The characteristic electromagnetic interaction and signature between the dielectric structure and the person under test is used in order to infer the dielectric constant of the explosive stimulant
- Can be used in millimeter-wave imaging systems
- Can be used in body imaging
- License
- Research collaboration
- Partnering
Patent Information:
For Information, Contact:
Mark Saulich
Associate Director of Commercialization
Northeastern University
Carey Rappaport
Jose Angel Martinez-Lorenzo
Homeland Security
Imaging Technology
Information Technology