Optimal sampling structure for asynchronous multi-access channels

Xiao Li, Andrea Rueetschi, Anna Scaglione, Yonina C. Eldar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A sensitive receiver operation in multi-access reception is to detect the presence of training signals and identify sources from which the signals are sent, with a certain physical delay and center frequency. This is typically a sequential search, where the receiver tests the presence of specific signals and then acquires synchronization parameters (delays, Dopplers), for each component. In this paper, we develop an optimal compressive multichannel sampling (CMS) architecture, the output samples of which are fed to the proposed Sparsity Regularized (SR) Generalized Likelihood Ratio Test (GLRT). It is shown that SR-GLRT using the optimal sampling scheme exhibits better performance than conventional compressed sensing structure, and furthermore effectively scales down the storage requirement and complexity with greater flexibility than conventional architectures.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages2993-2996
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period3/25/123/30/12

Fingerprint

Sampling
Compressed sensing
Synchronization

Keywords

  • compressed sensing
  • Multichannel sampling

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Li, X., Rueetschi, A., Scaglione, A., & Eldar, Y. C. (2012). Optimal sampling structure for asynchronous multi-access channels. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 2993-2996). [6288544] https://doi.org/10.1109/ICASSP.2012.6288544

Optimal sampling structure for asynchronous multi-access channels. / Li, Xiao; Rueetschi, Andrea; Scaglione, Anna; Eldar, Yonina C.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 2993-2996 6288544.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, X, Rueetschi, A, Scaglione, A & Eldar, YC 2012, Optimal sampling structure for asynchronous multi-access channels. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6288544, pp. 2993-2996, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 3/25/12. https://doi.org/10.1109/ICASSP.2012.6288544
Li X, Rueetschi A, Scaglione A, Eldar YC. Optimal sampling structure for asynchronous multi-access channels. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 2993-2996. 6288544 https://doi.org/10.1109/ICASSP.2012.6288544
Li, Xiao ; Rueetschi, Andrea ; Scaglione, Anna ; Eldar, Yonina C. / Optimal sampling structure for asynchronous multi-access channels. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. pp. 2993-2996
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