Fayetteville, NY, United States of America

Jonathan Fischi


Average Co-Inventor Count = 1.5

ph-index = 2

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 2011-2015

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3 patents (USPTO):Explore Patents

Title: Innovations of Jonathan Fischi

Introduction

Jonathan Fischi is an accomplished inventor based in Fayetteville, NY (US). He has made significant contributions to the field of radar technology, holding a total of 3 patents. His work focuses on enhancing the stability and effectiveness of radar systems.

Latest Patents

One of Fischi's latest patents is titled "Transmitter pushing compensation for radar stability enhancement." This patent describes a method for compensating for transmitter instability in radar systems. The method involves transmitting electromagnetic pulses and measuring their characteristics. A comparison is made between the measured characteristics and reference pulse characteristics, which helps generate a complex weight for the transmitted pulses. This weight is then applied to the received return of the electromagnetic pulses.

Another notable patent is "Digital clutter spatial nulling." This invention provides a method and system for suppressing unwanted signals in detection systems. It involves creating a background map based on range, azimuth, and Doppler. Locations within the residual clutter are selected for nulling, and adaptive nulling is performed independently on each Doppler bin to enable specific spatial nulling.

Career Highlights

Jonathan Fischi is currently employed at Lockheed Martin Corporation, where he continues to innovate in radar technology. His expertise and contributions have made a significant impact on the company's advancements in this field.

Collaborations

Fischi collaborates with various professionals, including his coworker Peter H Stockmann, to further enhance the capabilities of radar systems.

Conclusion

Jonathan Fischi's innovative work in radar technology demonstrates his commitment to advancing the field. His patents reflect a deep understanding of the complexities involved in radar systems and contribute to the ongoing development of more effective detection technologies.

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