@inproceedings{0b334126629548ea8f318b684fc3015f,
title = "Optimum analog receive filters for detection and inference under a sampling rate constraint",
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.",
keywords = "analog filtering, detection theory, estimation theory, satellite-based positioning, sub-Nyquist sampling",
author = "Manuel Stein and Andreas Lenz and Amine Mezghani and Nossek, {Josef A.}",
year = "2014",
doi = "10.1109/ICASSP.2014.6853914",
language = "English",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1827--1831",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}