Multiresolution compressive sensing algorithm to detect off-grid direction of arrival

Audri Biswas; Sam Reisenfeld; Leonardo Goratti; Mark Hedley; Zhuo Chen

doi:10.1109/ICSPCS.2016.7843314

Multiresolution compressive sensing algorithm to detect off-grid direction of arrival

Audri Biswas, Sam Reisenfeld, Leonardo Goratti, Mark Hedley, Zhuo Chen

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

1 Citation (Scopus)

Abstract

Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as radar, sonar and image processing. Especially in military communication, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Traditional DOA estimation techniques require large number of snapshots of the incoming signal to accurately deduce the DOA of an impinging wave, which can significantly increase the computational complexity of the algorithm. We propose a novel Compressive Sensing (CS) based DOA detection algorithm, which is independent of the transmitter being located at a quantized grid point and uses fewer snapshots than Beam-Scan algorithm to detect the DOA. We evaluated the Mean Square Error (MSE) in estimating the off-grid DOA. Simulation results suggest that the proposed algorithm achieves a reduction in MSE by a factor of ten, when compared to the high resolution Beam-Scan technique.

Original language	English
Title of host publication	2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS)
Subtitle of host publication	proceedings
Editors	Tadeusz A. Wysocki, Beata J. Wysocki
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509009411, 9781509009404
ISBN (Print)	9781509009428
DOIs	https://doi.org/10.1109/ICSPCS.2016.7843314
Publication status	Published - 2016
Event	10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Surfers Paradise, Australia Duration: 19 Dec 2016 → 21 Dec 2016

Other

Other	10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016
Country/Territory	Australia
City	Surfers Paradise
Period	19/12/16 → 21/12/16

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10.1109/ICSPCS.2016.7843314

Cite this

Biswas, A., Reisenfeld, S., Goratti, L., Hedley, M., & Chen, Z. (2016). Multiresolution compressive sensing algorithm to detect off-grid direction of arrival. In T. A. Wysocki, & B. J. Wysocki (Eds.), 2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSPCS.2016.7843314

Biswas, Audri ; Reisenfeld, Sam ; Goratti, Leonardo et al. / Multiresolution compressive sensing algorithm to detect off-grid direction of arrival. 2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings. editor / Tadeusz A. Wysocki ; Beata J. Wysocki. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016. pp. 1-6

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title = "Multiresolution compressive sensing algorithm to detect off-grid direction of arrival",

abstract = "Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as radar, sonar and image processing. Especially in military communication, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Traditional DOA estimation techniques require large number of snapshots of the incoming signal to accurately deduce the DOA of an impinging wave, which can significantly increase the computational complexity of the algorithm. We propose a novel Compressive Sensing (CS) based DOA detection algorithm, which is independent of the transmitter being located at a quantized grid point and uses fewer snapshots than Beam-Scan algorithm to detect the DOA. We evaluated the Mean Square Error (MSE) in estimating the off-grid DOA. Simulation results suggest that the proposed algorithm achieves a reduction in MSE by a factor of ten, when compared to the high resolution Beam-Scan technique.",

author = "Audri Biswas and Sam Reisenfeld and Leonardo Goratti and Mark Hedley and Zhuo Chen",

year = "2016",

doi = "10.1109/ICSPCS.2016.7843314",

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editor = "Wysocki, {Tadeusz A.} and Wysocki, {Beata J.}",

booktitle = "2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

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Biswas, A, Reisenfeld, S, Goratti, L, Hedley, M & Chen, Z 2016, Multiresolution compressive sensing algorithm to detect off-grid direction of arrival. in TA Wysocki & BJ Wysocki (eds), 2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016, Surfers Paradise, Australia, 19/12/16. https://doi.org/10.1109/ICSPCS.2016.7843314

Multiresolution compressive sensing algorithm to detect off-grid direction of arrival. / Biswas, Audri; Reisenfeld, Sam; Goratti, Leonardo et al.
2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings. ed. / Tadeusz A. Wysocki; Beata J. Wysocki. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 1-6.

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

TY - GEN

T1 - Multiresolution compressive sensing algorithm to detect off-grid direction of arrival

AU - Biswas, Audri

AU - Reisenfeld, Sam

AU - Goratti, Leonardo

AU - Hedley, Mark

AU - Chen, Zhuo

PY - 2016

Y1 - 2016

N2 - Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as radar, sonar and image processing. Especially in military communication, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Traditional DOA estimation techniques require large number of snapshots of the incoming signal to accurately deduce the DOA of an impinging wave, which can significantly increase the computational complexity of the algorithm. We propose a novel Compressive Sensing (CS) based DOA detection algorithm, which is independent of the transmitter being located at a quantized grid point and uses fewer snapshots than Beam-Scan algorithm to detect the DOA. We evaluated the Mean Square Error (MSE) in estimating the off-grid DOA. Simulation results suggest that the proposed algorithm achieves a reduction in MSE by a factor of ten, when compared to the high resolution Beam-Scan technique.

AB - Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as radar, sonar and image processing. Especially in military communication, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Traditional DOA estimation techniques require large number of snapshots of the incoming signal to accurately deduce the DOA of an impinging wave, which can significantly increase the computational complexity of the algorithm. We propose a novel Compressive Sensing (CS) based DOA detection algorithm, which is independent of the transmitter being located at a quantized grid point and uses fewer snapshots than Beam-Scan algorithm to detect the DOA. We evaluated the Mean Square Error (MSE) in estimating the off-grid DOA. Simulation results suggest that the proposed algorithm achieves a reduction in MSE by a factor of ten, when compared to the high resolution Beam-Scan technique.

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DO - 10.1109/ICSPCS.2016.7843314

M3 - Conference proceeding contribution

AN - SCOPUS:85015203592

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BT - 2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS)

A2 - Wysocki, Tadeusz A.

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PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016

Y2 - 19 December 2016 through 21 December 2016

ER -

Biswas A, Reisenfeld S, Goratti L, Hedley M, Chen Z. Multiresolution compressive sensing algorithm to detect off-grid direction of arrival. In Wysocki TA, Wysocki BJ, editors, 2016, 10th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 1-6 doi: 10.1109/ICSPCS.2016.7843314

Multiresolution compressive sensing algorithm to detect off-grid direction of arrival

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