Series Info:2016 24th European Signal Processing Conference (EUSIPCO);Pages : 458-462
Type:Book chapter
Keywords:University of Compressive sensing, synchronization, delay estimation, measurement matrix design
Abstract:
In this paper we study the problem of estimating the unknown delay(s) in a system where we receive a linear combination of several delayed copies of a known transmitted waveform. This problem arises in many applications such
as timing-based localization or wireless synchronization. Since
accurate delay estimation requires wideband signals, traditional
systems need high-speed AD converters which poses a significant
burden on the hardware implementation. Compressive sensing
(CS) based system architectures that take measurements at rates
significantly below the Nyquist rate and yet achieve accurate delay estimation have been proposed with the goal to alleviate the
hardware complexity. In this paper, we particularly discuss the
design of the measurement kernels based on a frequency-domain
representation and show numerically that an optimized choice
can outperform randomly chosen functionals in terms of the delay estimation accuracy.