PROJECT TITLE :

Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms

ABSTRACT:

A new undersampling-based dual-rate signal acquisition technique for measuring a wideband sparse signal (i.e., a multiband signal) is presented in this paper. The proposed design employs a combination of twin-rate time-interleaved undersampling hardware and associated multicoset back-finish Signal Processing algorithms. In twin-rate sampling hardware, a pair of uniform samplers is employed to amass a standard incoming wideband sparse signal while the operation frequencies of the two samplers have a small frequency offset. Thanks to the sampling frequency offset, the time grids of the samples obtained from the 2 samplers are irregularly spaced. These nonuniform periodic samples are then digitally re-sequenced and applied as input to a multicoset signal reconstruction algorithm. The multicoset signal reconstruction algorithm uses the re-sequenced nonuniform periodic samples to realize a perfect reconstruction of the original wideband signal with an enhanced time resolution beyond the sampling hardware’s capability. Compared to the standard multi-channel sampling approach commonly used with multicoset algorithms, the proposed method uses fewer sampling channels and will not need their accurate clock phase adjustment.