  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.
