Abstract
the interaction between radar signals for cooperative targets and the Nyquist Folding Receiver (NYFR) is investigated from a zero-sum (ZS) game theory perspective. Since the sub- Nyquist sampling is a tradeoff in noise folding with signals versus dynamic range of analogy-to-digital converter (ADC), a parameter management optimization model is modeled of them as a ZS game. And simulation results by applying convex optimization algorithm suggest that this model is suitable. Keywords-NYFR; game theory; zero-sum game; sub-Nyquist sampling; dynamic range
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