Optimum Analog Receive Filters for Detection and Inference Under a Sampling Rate Constraint

Stein, M.; Lenz, A.; Nossek, J.

Titel:: Optimum Analog Receive Filters for Detection and Inference Under a Sampling Rate Constraint
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Stein, M.; Lenz, A.; Nossek, J.
Abstract:: The problem of optimum analog receive filtering for digital signal detection and parameter estimation is considered. Here the case of a signal source with bandwidth Bt and a receiver with fixed sampling rate fs is discussed under the assumption that 2Bt > fs. We investigate the impact of adjusting the receive bandwidth Br of the analog pre-filter, which is applied prior to the sampler, with respect to the deflection coefficient or the Fisher information measure. This reveals that the design rule 2Br < fs, known as the sampling theorem, does not necessarily lead to optimum system performance. Studying the two analytical information measures under a fix sampling rate fs and an arbitrary choice of Br, we provide an example where receive setups with 2Br > fs achieve higher detection and parameter estimation performance.
Kongress- / Buchtitel:: IEEE Int. Conf. Acoustic, Speech and Signal Processing (ICASSP)
Jahr:: 2014
Reviewed:: ja
WWW:: http://ieeexplore.ieee.org/document/6853914/
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Codierung und Kryptographie (Prof. Wachter-Zeh)Autor Lenz, A.