Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays

Lavrenko A, Romer F, Stein S, Cohen D, Del Galdo G, Thoma RS, Eldar YC (2016)


Publication Type: Conference contribution

Publication year: 2016

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2016-August

Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Event location: Edinburgh, GBR

ISBN: 9781509017492

DOI: 10.1109/SPAWC.2016.7536776

Abstract

In recent years it has been shown that wideband analog signals can be sampled significantly below the Nyquist rate without loss of information, provided that the unknown frequency support occupies only a small fraction of the overall bandwidth. The modulated wideband converter (MWC) is a particular architecture that implements this idea. In this paper we discuss how the use of antenna arrays allows to extend this concept towards spatially resolved wideband spectrum sensing by leveraging the sparsity in the angular-frequency domain. In our system each antenna element of the array is sampled at a sub-Nyquist rate by an individual MWC block. This results in a trade-off between the number of antennas and MWC channels per antenna. We derive bounds on the minimal total number of channels and minimal sampling rate required for perfect recovery of the 2D angular-frequency spectrum of the incoming signal and present a concrete reconstruction approach. The proposed system is applicable to arbitrary antenna arrays, provided that the array manifold is ambiguity-free.

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How to cite

APA:

Lavrenko, A., Romer, F., Stein, S., Cohen, D., Del Galdo, G., Thoma, R.S., & Eldar, Y.C. (2016). Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Edinburgh, GBR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lavrenko, A., et al. "Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays." Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016, Edinburgh, GBR Institute of Electrical and Electronics Engineers Inc., 2016.

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