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A cross-disciplinary overview with potential application and examples for cognitive radar

A cross-disciplinary overview with potential application and examples for cognitive radar

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A crossdisciplinary overview of attractive technical topics was attempted to enrich the background, which could foster new hints for the development of CR. First, the focus was on intelligence, that is deemed a key feature of CR. An old story, involving natural and artificial intelligence, which is still in its growing phase. Its evolution should be carefully monitored in view of CR exploitation. The pervasive theory of network is reviewed together with the quantitative concepts of controllability and complexity and their relation to the network topology and statistical degrees of nodes. The impact on the scheduler of modern radar and of multisensor systems is discussed. Bioinspired collective processing is widely analyzed and practical examples of radar signal and data processing are recalled. Subsequently, new discoveries and recent researches on neurosciences are reviewed and potential applications to adaptive radar signal processing and adaptive radar scheduler are hypothesized. The discovery of memristor and its practical realization with nanotechnology have been mentioned also in relation to its striking potential role as model of synapses and axon in the brain. One could argue for an adaptive radar signal processor based on memristor technology. Even though quite recently a paper has questioned the discovery of the missing memristor. Cyber-security is a global issue. It should be considered not only for conventional radar and for radar networks but for their cognitive evolution as well. Mitigation policies of this risk are briefly reviewed.

Chapter Contents:

  • 10.1 Introduction
  • 10.2 From information to intelligence ⋯ to exploit in cognitive radar
  • 10.2.1 Birth certificate of the information age: the Annus Mirabilis 1948
  • 10.2.2 Path forward to intelligence theory: perhaps!
  • 10.3 Modeling everything with the new science of network
  • 10.3.1 Some mathematical properties of networks
  • 10.3.1.1 Linking controllability and complexity of two notional networks
  • 10.3.1.2 Implication of controllability and complexity of networks to our CR and network of CR
  • 10.3.1.3 Discovery of a threat network embedded in a wider network
  • 10.4 Bioinspired collective processing
  • 10.4.1 Potential applications to cognitive radar
  • 10.5 Mirror neurons: one of the most exciting events in neuroscience. Does it matter to cognitive radar?
  • 10.5.1 Who discovered the mirror neuron phenomenon?
  • 10.5.2 Potential impact of research on adaptive radar signal processing
  • 10.6 Additional recent researchers on neurosciences
  • 10.7 Memristors: the missing fourth element of circuits
  • 10.7.1 Potential modeling of synapse and axon via memristors
  • 10.8 The cybersecurity issue of a radar network
  • 10.9 Conclusion
  • Acknowledgments
  • References

Inspec keywords: sensor fusion; radar receivers; nanotechnology; radar signal processing; statistical analysis; adaptive signal processing; memristors

Other keywords: nanotechnology; adaptive radar signal processing; artificial intelligence; brain; pervasive theory; cyber-security; data processing; adaptive radar scheduler; cognitive radar; network topology; bioinspired collective processing; multisensor system; cross-disciplinary overview; memristor technology; statistical degree of node; CR

Subjects: Radar equipment, systems and applications; Resistors; Signal processing and detection; Other topics in statistics

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