Bbn Technologies Corporation

Raytheon Bbn Technologies Corp.

Stragent, LLC

Bbn Corporation

Stephen Douglas Milligan

James Edwin Barger

Marshall Seth Brinn

Richard James Mullen

Walter Clark Milliken

William Timothy Strayer

Jason Keith Redi

Craig Partridge

Luis Sanchez

Dale G Robertson

David J Montana

Richard Lazarus

Steven W Weeks

Joseph J Destefano

Daniel C Gabriner

Jonathan Fisher

Daniel Sumorok

Talib S Hussain

Richard F Estrada

Gordon Vidaver

According to one aspect, embodiments of the invention provide a method for providing power to a distributed sensor system, the method comprising providing power from at least one port of an interface unit to a first port of a first sensor unit of at least one of a plurality of sensor strings, powering up the first sensor unit, forwarding power from a second port of the first sensor unit to a first port of a second sensor unit of the at least one of the plurality of sensor strings, powering up the second sensor unit, monitoring the plurality of sensor strings for a fault condition, and in response to detecting a fault condition in a first sensor string of the plurality of sensor strings, providing power from a second one of the plurality of sensor strings to the first sensor string.

Redundantly powered and daisy chained power over ethernet

Techniques disclosed herein include systems and methods for accurately scheduling radar and radio events against each other. Specifically, a scheduling manager can schedule radar events based on scheduled radio events (wireless network communication events). A given radio schedule for a compact radar sensor can be a relatively complicated schedule, especially when the compact radar sensor operates as part of an ad hoc network. In certain embodiments, the scheduling manager identifies a radio transmission schedule of neighboring radar nodes or compact radar sensor units. Such a radio transmission schedule of neighboring nodes can include information on when neighboring nodes will be receiving or transmitting data. The scheduling manager then schedules radar events to be executed by the radar device at available times, or at times that do not overlap with scheduled radio events.

Radar coherent processing interval scheduling via ad hoc network

A system () detects transmission of potentially malicious packets. The system () receives, or otherwise observes, packets and generates hash values based on variable-sized blocks of the packets. The system () then compares the generated hash values to hash values associated with prior packets. The system () determines that one of the received packets is a potentially malicious packet when one or more of the generated hash values associated with the received packet match one or more of the hash values associated with the prior packets.

Hash-based systems and methods for detecting and preventing transmission of polymorphic network worms and viruses

A system () detects transmission of potentially unwanted e-mail messages. The system () may receive e-mail messages and generate hash values based on one or more portions of the e-mail messages. The system () may then determine whether the generated hash values match hash values associated with prior e-mail messages. The system () may determine that one of the e-mail messages is a potentially unwanted e-mail message when one or more of the generated hash values associated with the e-mail message match one or more of the hash values associated with the prior e-mail messages.

Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail

Disclosed are systems and methods that can be used to detect shooters. The systems and methods described herein use arrival times of a shockwave, produced by a shot, at a plurality of sensors to assign weights to each of the plurality of sensors, and determine a shot trajectory based on the assigned weights.

Self calibrating shooter estimation

Systems and methods for locating the shooter of supersonic projectiles are described. The system uses at least five, preferably seven, spaced acoustic sensors. Sensor signals are detected for shockwaves and muzzle blast, wherein muzzle blast detection can be either incomplete coming from less than 4 sensor channels, or inconclusive due to lack of signal strength. Shooter range can be determined by an iterative computation and/or a genetic algorithm by minimizing a cost function that includes timing information from both shockwave and muzzle signal channels. Disambiguation is significantly improved over shockwave-only measurements.

System and method for identifying a muzzle blast using a multi-sensor total energy approach

Systems and methods for determining shooter locations with weak muzzle detection

A method of determining a path having an ordered set of waypoints to be visited by a mobile agent to accomplish a mission includes: producing candidate paths using a multi-objective optimization algorithm, subject to a path production heuristic; selecting a path from the candidate paths, subject to a path selection heuristic; instructing the mobile agent to move according to the selected path; modifying a maintained subset of the candidate paths to produce a new candidate path using the algorithm and subject to the path production heuristic; designating either the currently-selected path or the new candidate path as the newly-selected path, subject to the path selection heuristic; and instructing the mobile agent to move according to the newly-selected path. The method may further include iterating production of new candidate paths, either randomly or based on modifications of previous candidate paths, to continually update an operation plan for the mobile agent.

Vehicle routing and path planning

Systems and methods for determining and disambiguating the location of the shooter of supersonic projectiles based on shockwave-only signals are described. Using several spaced sensors, an initial portion of the shockwave-only signals is sensed to determine Time-Differences-Of-Arrival (TDOA) for the sensor pairs. The resulting TDOAs are used to determine the gradient of curvature of the shockwave wavefront on the sensors. The gradient of curvature is then used to determine the disambiguated projectile trajectory.

System and method for disambiguating shooter locations

Systems and methods for compensation of sensor degradation in multi-shooter detection systems are described. In such systems, shooter position and trajectory can be estimated precisely from the shockwaves produced at the plurality of sensors by the incoming shots. However, sensor positions can shift and the performance of some sensors may degrade for various reasons. To compensate for sensor degradation that may occur over the life of a long-deployed system, the shooter estimation algorithms are dynamically adapted by performing a least-squares regression analysis of the shockwave arrival times to obtain a time residual for each shot, observing multiple shots, and weighting the individual contributions of the sensors as a function of the time residuals for the multiple shots.

Systems and method for compensation of sensor degradation in shooter detection systems

Shockwave-only solutions that estimate shooter position and shot trajectory are extremely sensitive to the quality and precision of the shock time-of-arrival (TOA) measurements as well as the accuracy to which relative sensor positions in space are known. Over the life of a long-deployed system, the sensor positions can shift and the performance of some sensors may degrade for various reasons. Such changes can degrade the performance of deployed shooter estimation systems. Disclosed are systems and methods that can be used to calibrate sensor positions based on shock and muzzle measurements processed from a series of shots fired from a known location and in a known direction, as well as an approach for dynamically adapting shock-only shooter estimation algorithms to compensate for sensor degradation and/or loss.

Self-calibrating shooter estimation

Systems and methods for locating the shooter of supersonic projectiles based on shockwave-only measurements are described. Muzzle blast signals are neither sought nor required. The system uses at least five, preferably seven, acoustic sensors that are spaced apart at least 1 meter. The sensor signals are acquired with a time resolution in the order of microseconds and processed to find and disambiguate the shockwave arrival angle unit vector. Two different Time-Difference-Of-Arrival (TDOA) measurement techniques are described, with one technique using counters in each signal channel and the other technique using cross-correlation between signal channels. A genetic algorithm can be used to efficiently disambiguate the results.

An improved Genetic Algorithm scheduling system includes system for encoding and testing hard constraint information. Each resource and task includes an associated capability and constraint indicating component. A comparison of the capability and constraint components provides an indication of the associated resource is capable of perform the proposed task. The system also includes a method of creating genomes using cost factors and weight settings to produce initial genomes which encode at least partly optimized schedules. The weight settings can be manipulated to emphasize different cost factors during genomes creation. This method also allows changes to be added into a running GA scheduling system, in that new or changed tasks and new or changed resources are encoded into the genome population. The system further includes a method of efficiently detecting and deleting duplicate genomes by converting genomes into a schedule representation, then re-encoding the genomes, and performing a sequential comparison of the genomes.

Growing community of inventors

Stow, MA, United States of America

Stephen Douglas Milligan