In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional analog-to-digital converters (ADCs). Examples, among others, include systems where the ADC must acquire at once a very wide but sparsely and dynamically occupied bandwidth supporting diverse services, as well as systems where the signal of interest is subject to strong narrowband co-channel interference. In such scenarios, the resolution requirements can be prohibitively high. As an alternative, the recently proposed modulo-ADC architecture can in principle require dramatically fewer bits in the conversion to obtain the target fidelity, but requires that information about the spectrum be known and explicitly taken into account by the analog and digital processing in the converter, which is frequently impractical. To address this limitation, we develop a blind version of the architecture that requires no such knowledge in the converter, without sacrificing performance. In particular, it features an automatic modulo-level adjustment and a fully adaptive modulo unwrapping mechanism, allowing it to asymptotically match the characteristics of the unknown input signal. In addition to detailed analysis, simulations demonstrate the attractive performance characteristics in representative settings.

中文翻译：

---

盲模模数转换,盲模模数转换

在越来越多的应用中，需要将其频谱特性对传统模数转换器 (ADC) 具有挑战性的信号数字化。示例包括 ADC 必须立即获取非常宽但稀疏且动态占用的带宽以支持多种服务的系统，以及相关信号受到强窄带同信道干扰的系统。在这种情况下，分辨率要求可能非常高。作为替代方案，最近提出的模 ADC 架构原则上可以在转换中需要显着减少的位数来获得目标保真度，但需要知道有关频谱的信息，并在转换器中的模拟和数字处理中明确考虑，这通常是不切实际的。为了解决这个限制，我们开发了一个架构的盲版本，不需要转换器中的此类知识，而不会牺牲性能。特别是，它具有自动模电平调整和完全自适应模展开机制，使其能够渐近匹配未知输入信号的特征。除了详细分析之外，模拟还展示了具有代表性的环境中具有吸引力的性能特征。,在越来越多的应用中，需要将其频谱特性对传统模数转换器 (ADC) 具有挑战性的信号数字化。示例包括 ADC 必须立即获取非常宽但稀疏且动态占用的带宽以支持多种服务的系统，以及相关信号受到强窄带同信道干扰的系统。在这种情况下，分辨率要求可能非常高。作为替代方案，最近提出的模 ADC 架构原则上可以在转换中需要显着减少的位数来获得目标保真度，但需要知道有关频谱的信息，并在转换器中的模拟和数字处理中明确考虑，这通常是不切实际的。为了解决这个限制，我们开发了一个架构的盲版本，不需要转换器中的此类知识，而不会牺牲性能。特别是，它具有自动模电平调整和完全自适应模展开机制，使其能够渐近匹配未知输入信号的特征。除了详细分析之外，模拟还展示了具有代表性的环境中具有吸引力的性能特征。