Power centroid radar and its rise from the universal cybernetics duality

Erlan H. Feria

doi:10.1117/12.2059153

28 May 2014 Power centroid radar and its rise from the universal cybernetics duality

Erlan H. Feria

Author Affiliations +

Proceedings Volume 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014; 912007 (2014) https://doi.org/10.1117/12.2059153
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Power centroid radar (PC-Radar) is a fast and powerful adaptive radar scheme that naturally surfaced from the recent discovery of the time-dual for information theory which has been named “latency theory.” Latency theory itself was born from the universal cybernetics duality (UC-Duality), first identified in the late 1970s, that has also delivered a time dual for thermodynamics that has been named “lingerdynamics” and anchors an emerging lifespan theory for biological systems. In this paper the rise of PC-Radar from the UC-Duality is described. The development of PC-Radar, US patented, started with Defense Advanced Research Projects Agency (DARPA) funded research on knowledge-aided (KA) adaptive radar of the last decade. The outstanding signal to interference plus noise ratio (SINR) performance of PC-Radar under severely taxing environmental disturbances will be established. More specifically, it will be seen that the SINR performance of PC-Radar, either KA or knowledgeunaided (KU), approximates that of an optimum KA radar scheme. The explanation for this remarkable result is that PC-Radar inherently arises from the UC-Duality, which advances a “first principles” duality guidance theory for the derivation of synergistic storage-space/computational-time compression solutions. Real-world synthetic aperture radar (SAR) images will be used as prior-knowledge to illustrate these results.

Citation Download Citation

Erlan H. Feria "Power centroid radar and its rise from the universal cybernetics duality", Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 912007 (28 May 2014); https://doi.org/10.1117/12.2059153

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