A differentiable ambiguity function built from FFTs and Wirtinger calculus lets radar waveforms be optimized with gradient descent inside standard machine-learning frameworks.
Quartic gradient descent for tractable radar slow- time ambiguity function shaping
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Differentiable Radar Ambiguity Functions: Mathematical Formulation and Computational Implementation
A differentiable ambiguity function built from FFTs and Wirtinger calculus lets radar waveforms be optimized with gradient descent inside standard machine-learning frameworks.