一种改进欠采样系统的有意混叠方法
Intentional Aliasing Method to Improve Sub-Nyquist Sampling System
摘要：
调制宽带转换器（MWC）已被引入作为一个子奈奎斯特采样器，利用一组快速交替伪随机（PR）信号。通过并行采样分支，MWC通过将多带频谱与PR信号在时域混合来压缩多带频谱，并获得其亚奈奎斯特样本。以前，压缩比完全取决于PR信号的规格。也就是说，为了进一步降低采样率而不丢失信息，需要更快和更长周期的PR信号。然而，这种PR信号发生器的实现导致高功耗和大的制造面积。在本文中，我们提出了一种新的混叠调制宽带转换器（AMWC），它可以进一步降低采样率的MWC与固定PR信号。其主要思想是在模数转换器（ADC）中引入有意的信号混叠。除了信号混合器的第一次频谱压缩之外，有意混叠再次压缩混合频谱。我们证明了AMWC减少了采样支路的数量和ADC的速率，而不需要提高PR信号的速度或周期的无损亚奈奎斯特采样。相反，对于给定的固定采样分支数和采样率，AMWC提高了信号重构的性能。
英文摘要：
A modulated wideband converter (MWC) has been introduced as a sub-Nyquist sampler that exploits a set of fast alternating pseudo random (PR) signals. Through parallel sampling branches, an MWC compresses a multiband spectrum by mixing it with PR signals in the time domain, and acquires its sub-Nyquist samples. Previously, the ratio of compression was fully dependent on the specifications of PR signals. That is, to further reduce the sampling rate without information loss, faster and longer-period PR signals were needed. However, the implementation of such PR signal generators results in high power consumption and large fabrication area. In this paper, we propose a novel aliased modulated wideband converter (AMWC), which can further reduce the sampling rate of MWC with fixed PR signals. The main idea is to induce intentional signal aliasing at the analog-to-digital converter (ADC). In addition to the first spectral compression by the signal mixer, the intentional aliasing compresses the mixed spectrum once again. We demonstrate that AMWC reduces the number of sampling branches and the rate of ADC for lossless sub-Nyquist sampling without needing to upgrade the speed or period of PR signals. Conversely, for a given fixed number of sampling branches and sampling rate, AMWC improves the performance of signal reconstruction.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
