A Diagonal Structure for Analog-to-Information Conversion in Compressed Sampling

Analog-to-information conversion (AIC) is an efficient way to obtain the compressed samples directly from an analog signal. Modulated wideband converter (MWC) proposed by M. Mishali and Y. C. Elda is a successful hardware architecture of AIC that measures the analog signal by K branches of mixers and integrators (BMI). However, MWC has high implementation complexity owing to the fact that its measurement matrix is dense. To reduce the complexity of MWC, in this paper we propose the diagonal modulated wideband converter (D-MWC), where each BMI only works within a partial time period that is non-overlapping instead of each BMI working all the time in MWC. The measurement matrix of D-MWC is sparse that can significantly simplify the sampling structure. Simulations verify the effectiveness of D-MWC. The proposed D-MWC offers a good tradeoff between complexity and sampling performance.