Symmetric sparse linear array for active imaging

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Symmetric sparse linear array for active imaging. / Rajamaki, Robin; Koivunen, Visa.

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. Vol. 2018-July United States, 2018. p. 46-50 8448767 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Rajamaki, R & Koivunen, V 2018, Symmetric sparse linear array for active imaging. in 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. vol. 2018-July, 8448767, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, United States, pp. 46-50, IEEE Sensor Array and Multichannel Signal Processing Workshop, Sheffield, United Kingdom, 08/07/2018. https://doi.org/10.1109/SAM.2018.8448767

APA

Rajamaki, R., & Koivunen, V. (2018). Symmetric sparse linear array for active imaging. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 (Vol. 2018-July, pp. 46-50). [8448767] (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). United States. https://doi.org/10.1109/SAM.2018.8448767

Vancouver

Rajamaki R, Koivunen V. Symmetric sparse linear array for active imaging. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. Vol. 2018-July. United States. 2018. p. 46-50. 8448767. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). https://doi.org/10.1109/SAM.2018.8448767

Author

Rajamaki, Robin ; Koivunen, Visa. / Symmetric sparse linear array for active imaging. 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. Vol. 2018-July United States, 2018. pp. 46-50 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Bibtex - Download

@inproceedings{72e401e83a9a4b3bbe67635b297c8459,
title = "Symmetric sparse linear array for active imaging",
abstract = "Sparse sensor arrays can achieve significantly more degrees of freedom than the number of elements by leveraging the co-array, a virtual structure that arises from the far field narrowband signal model. Although several sparse array configurations have been developed for passive sensing tasks, less attention has been paid to arrays suitable for active sensing. This paper presents a novel active sparse linear array, called the Interleaved Wichmann Array (IWA). The IWA only has a few closely spaced elements, which may make it more robust to mutual coupling effects. Closed-form expressions are provided for the key properties of the IWA. The parameters maximizing the array aperture for a given even number of elements are also found. The near field wideband performance of the array is demonstrated numerically in a coherent imaging scenario.",
author = "Robin Rajamaki and Visa Koivunen",
year = "2018",
month = "8",
day = "27",
doi = "10.1109/SAM.2018.8448767",
language = "English",
isbn = "9781538647523",
volume = "2018-July",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
pages = "46--50",
booktitle = "2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018",

}

RIS - Download

TY - GEN

T1 - Symmetric sparse linear array for active imaging

AU - Rajamaki, Robin

AU - Koivunen, Visa

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Sparse sensor arrays can achieve significantly more degrees of freedom than the number of elements by leveraging the co-array, a virtual structure that arises from the far field narrowband signal model. Although several sparse array configurations have been developed for passive sensing tasks, less attention has been paid to arrays suitable for active sensing. This paper presents a novel active sparse linear array, called the Interleaved Wichmann Array (IWA). The IWA only has a few closely spaced elements, which may make it more robust to mutual coupling effects. Closed-form expressions are provided for the key properties of the IWA. The parameters maximizing the array aperture for a given even number of elements are also found. The near field wideband performance of the array is demonstrated numerically in a coherent imaging scenario.

AB - Sparse sensor arrays can achieve significantly more degrees of freedom than the number of elements by leveraging the co-array, a virtual structure that arises from the far field narrowband signal model. Although several sparse array configurations have been developed for passive sensing tasks, less attention has been paid to arrays suitable for active sensing. This paper presents a novel active sparse linear array, called the Interleaved Wichmann Array (IWA). The IWA only has a few closely spaced elements, which may make it more robust to mutual coupling effects. Closed-form expressions are provided for the key properties of the IWA. The parameters maximizing the array aperture for a given even number of elements are also found. The near field wideband performance of the array is demonstrated numerically in a coherent imaging scenario.

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U2 - 10.1109/SAM.2018.8448767

DO - 10.1109/SAM.2018.8448767

M3 - Conference contribution

SN - 9781538647523

VL - 2018-July

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 46

EP - 50

BT - 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018

CY - United States

ER -

ID: 28401978