Scatterer arrays with latent symmetries enable intruder localization and identification by quantifying symmetry breaking in a capacitance matrix model, with Bayesian inference and neural networks outperforming dictionary methods under noise.
Nayak , Multivariable constrained nonlinear optimization , in Fundamentals of Optimization Techniques with Algorithms, S
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Target localization, identification and sensing using latent symmetries
Scatterer arrays with latent symmetries enable intruder localization and identification by quantifying symmetry breaking in a capacitance matrix model, with Bayesian inference and neural networks outperforming dictionary methods under noise.