Company Filing History:
Years Active: 1999-2002
Title: Craig S. Jacobs: Innovator in Radar Technology
Introduction
Craig S. Jacobs is a notable inventor based in Farmington Hills, MI (US). He has made significant contributions to the field of radar technology, holding 2 patents that showcase his innovative approach to solving complex problems in this domain.
Latest Patents
One of Jacobs' latest patents is for a Neural Network Radar Processor. This invention comprises a multilayer perceptron neural network that includes an input layer, a second layer, and at least a third layer. Each layer contains a plurality of nodes, with specific subsets of nodes in the second and third layers interconnected to form mutually exclusive subnetworks. The neural network is trained to respond to targets in corresponding range cells, utilizing signals relevant to FMCW radar, including various target scenarios and background clutter signals.
Another significant patent is for a Radar System that focuses on leakage calibration and removal. This system estimates the complex in-phase and quadrature phase components of a leakage signal for each beam location in a sampled down-converted radar signal. The process involves subtracting the stored leakage calibration signal from the sampled radar signal to detect targets effectively. The system is designed to activate a leakage calibration process if a leakage signal test indicates a problem over consecutive scans, ensuring accurate target detection.
Career Highlights
Craig S. Jacobs is currently associated with Automotive Systems Laboratory, Inc., where he applies his expertise in radar technology. His work has been instrumental in advancing the capabilities of radar systems, particularly in automotive applications.
Collaborations
Jacobs collaborates with talented individuals such as Michael Edward Farmer and Shan Cong, contributing to innovative projects that push the boundaries of radar technology.
Conclusion
Craig S. Jacobs is a distinguished inventor whose work in radar technology has led to significant advancements in the field. His patents reflect a deep understanding of complex systems and a commitment to innovation.