Raytheon Company

Danny D Nguyen

Cheng-Chih Tsai

Carl G Pfeiffer

John H Steele

Terence J McKiernan

Majid J Yaghoubi

Christopher Calingaert

Jeanine T Duong

D Spyro Gumas

Ann E Inguanzo

Systems and methods described herein provide for testing and debugging different subsystems of an embedded controller using a testing architecture. The testing architecture can simulate messaging interfaces between internal subsystems of the embedded controller and external subsystems the controllers interacts with to integrate various types of software. A method includes generating test support models for one or more subsystems and establishing a communications network between the test support models and a control module of the embedded controller. A clock signal is generated to initiate processing within the testing architecture between the control module and the test support models. An event model is executed at the test support models using the clock signal and data is generated at one or more of the test support models responsive to the event model. The data can correspond to operational parameters of a respective system the embedded controller.

Systems and methods for testing an embedded controller

A computationally efficient missile detection and tracking system, operating on data samples from a focal plane assembly (FPA) of an electro-optical sensor which is observing the earth and space, detects missiles, aircraft, resident space objects or other objects in the presence of background clutter, determines missile types and estimates missile position and velocity components in an inertial reference frame. Digitized samples from an array of electro-optical detectors which are viewing the earth and/or space are processed to detect and track missiles, aircraft and resident space objects. Streak detection is used for this purpose, where the target is separated from a background scene by exploiting target motion relative to the background scene. This processing system provides superior performance and simplified implementation as compared to conventional methods. The weight and power of a computer which can implement the processing system is much reduced as compared to conventional implementation.

Background adaptive target detection and tracking with multiple

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Irvine, CA, United States of America

Danny D Nguyen