DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods

Christoph Stöckle; Jawad Munir; Amine Mezghani; Josef A. Nossek

DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods

Christoph Stöckle, Jawad Munir, Amine Mezghani, Josef A. Nossek

Chair of Circuit Theory and Signal Processing (2008 — 2021)

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

46 Scopus citations

Abstract

We investigate the Direction of Arrival (DoA) estimation for small- and large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspace- and compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different parameters such as number of antenna elements, number of snapshots and quantization. From this comparison, we conclude that the subspace-based method ESPRIT is well suited for small-scale antenna systems while the CS-based method IHT is advantageous for large-scale antenna systems.

Original language	English
Title of host publication	Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9783800736621
State	Published - 2015
Event	19th International ITG Workshop on Smart Antennas, WSA 2015 - Ilmenau, Germany Duration: 3 Mar 2015 → 5 Mar 2015

Publication series

Name	Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015

Conference

Conference	19th International ITG Workshop on Smart Antennas, WSA 2015
Country/Territory	Germany
City	Ilmenau
Period	3/03/15 → 5/03/15

Cite this

Stöckle, C., Munir, J., Mezghani, A., & Nossek, J. A. (2015). DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods. In Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015 Article 7051833 (Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015). Institute of Electrical and Electronics Engineers Inc..

Stöckle, Christoph ; Munir, Jawad ; Mezghani, Amine et al. / DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods. Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015).

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title = "DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods",

abstract = "We investigate the Direction of Arrival (DoA) estimation for small- and large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspace- and compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different parameters such as number of antenna elements, number of snapshots and quantization. From this comparison, we conclude that the subspace-based method ESPRIT is well suited for small-scale antenna systems while the CS-based method IHT is advantageous for large-scale antenna systems.",

author = "Christoph St{\"o}ckle and Jawad Munir and Amine Mezghani and Nossek, {Josef A.}",

note = "Publisher Copyright: {\textcopyright} VDE Verlag GMBH · Berlin · Offenbach, Germany.; 19th International ITG Workshop on Smart Antennas, WSA 2015 ; Conference date: 03-03-2015 Through 05-03-2015",

year = "2015",

language = "English",

series = "Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015",

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Stöckle, C, Munir, J, Mezghani, A & Nossek, JA 2015, DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods. in Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015., 7051833, Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015, Institute of Electrical and Electronics Engineers Inc., 19th International ITG Workshop on Smart Antennas, WSA 2015, Ilmenau, Germany, 3/03/15.

DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods. / Stöckle, Christoph; Munir, Jawad; Mezghani, Amine et al.
Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7051833 (Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods

AU - Stöckle, Christoph

AU - Munir, Jawad

AU - Mezghani, Amine

AU - Nossek, Josef A.

PY - 2015

Y1 - 2015

N2 - We investigate the Direction of Arrival (DoA) estimation for small- and large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspace- and compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different parameters such as number of antenna elements, number of snapshots and quantization. From this comparison, we conclude that the subspace-based method ESPRIT is well suited for small-scale antenna systems while the CS-based method IHT is advantageous for large-scale antenna systems.

AB - We investigate the Direction of Arrival (DoA) estimation for small- and large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspace- and compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different parameters such as number of antenna elements, number of snapshots and quantization. From this comparison, we conclude that the subspace-based method ESPRIT is well suited for small-scale antenna systems while the CS-based method IHT is advantageous for large-scale antenna systems.

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M3 - Conference contribution

AN - SCOPUS:84979713606

T3 - Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015

BT - Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th International ITG Workshop on Smart Antennas, WSA 2015

Y2 - 3 March 2015 through 5 March 2015

ER -

Stöckle C, Munir J, Mezghani A, Nossek JA. DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods. In Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7051833. (Proceedings of 19th International ITG Workshop on Smart Antennas, WSA 2015).

DoA estimation performance and computational complexity of subspace- and compressed sensing-based methods

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