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