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The Latency Information Theory Revolution , Part III : Knowledge-Unaided Power-Centroid Adaptive Radar
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2010 |
| Abstract | Abstract—Knowledge unaided power centroid (KUPC) adaptive radar and its latency information theory (LIT) roots are reviewed in this third paper of a three paper series. LIT is the universal guidance theory for efficient system designs that has inherently surfaced from the confluence of five ideas. They are: 1) The source entropy and channel capacity performance bounds of Shannon’s mathematical theory of communication; 2) The latency time (LT) certainty of Einstein’s relativity theory; 3) The information space (IS) uncertainty of Heisenberg’s quantum physics; 4) The black hole Hawking radiation and its Boltzmann thermodynamics entropy S in SI J/K; and 5) The author’s 1978 conjecture of a structural-physical LT-certainty/IS-uncertainty duality for stochastic control. LIT is characterized by a four quadrants revolution. While the first and third quadrants are concerned with the life time of physical signal movers and the life space of physical signal retainers, respectively, the second and fourth quadrants are about the intelligence space of mathematical signal sources and the processing time of mathematical signal processors, respectively. The four quadrants of LIT are assumed to be physically independent with their system design methodologies guided by dualities and performance bounds. Moreover, all the LIT quadrants are bridged by statistical physics, inclusive of a recently discovered time dual for thermodynamics that has been named lingerdynamics. The theoretical and practical relevance of LIT has already been demonstrated using real-world control, physics, biochemistry and the KUPC adaptive radar application that is reviewed in this paper. KUPC adaptive radar is a technique that falls within the fourth quadrant of LIT, and is thus a mathematical signal processing technique whose goal is the efficient detection of moving targets in real-world taxing environments. As is highlighted in this review KUPC adaptive radar is found to come relatively close to the signal to interference plus noise ratio (SINR) radar performance of DARPA’s knowledge-aided sensory signal processing expert reasoning (KASSPER) even though it is knowledge unaided. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://feria.csi.cuny.edu/doc/FeriaSPIE2010_7708_31_Radar_Final.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | A Mathematical Theory of Communication Accidental Falls Adaptive grammar Assumed Biochemistry Black Hole Central processing unit Channel capacity Confluence Dual Entropy (information theory) Hawks (bird) Information theory Interference (communication) Mathematics Name Plant Roots Processing (action) Quantum mechanics Radar Relevance Shannon (unit) Signal Detection (Psychology) Signal processing Signal-to-interference-plus-noise ratio Signal-to-noise ratio Stochastic control Systems design TNFRSF10C wt Allele Thermodynamics |
| Content Type | Text |
| Resource Type | Article |
