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SAM 2018

The SAM Workshop is an important IEEE Signal Processing Society event dedicated to sensor array and multichannel signal processing. The organizing committee invites the international community to contribute with state-of-the-art developments in the field.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         

Combining Artificial and Natural Background Noise in Personal Audio Systems

Daniel Wallace

Personal audio systems are designed to deliver spatially separated regions of audio to individual listeners. This paper presents a method for improving the privacy of such systems. The level of a synthetic masking signal is optimised to provide specified levels of intelligibility in the bright and dark sound zones and reduce the potential for annoyance of listeners
in the dark zone by responding to changes in ambient noise.

Paper Details

Authors:
Daniel Wallace
Daniel Wallace, Jordan Cheer
Submitted On:
16 July 2018 - 5:14am
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Presentation given at SAM 2018

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[1] Daniel Wallace, Jordan Cheer, "Combining Artificial and Natural Background Noise in Personal Audio Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3380. Accessed: Mar. 21, 2019.
@article{3380-18,
url = {http://sigport.org/3380},
author = {Daniel Wallace; Jordan Cheer },
publisher = {IEEE SigPort},
title = {Combining Artificial and Natural Background Noise in Personal Audio Systems},
year = {2018} }
TY - EJOUR
T1 - Combining Artificial and Natural Background Noise in Personal Audio Systems
AU - Daniel Wallace; Jordan Cheer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3380
ER -
Daniel Wallace, Jordan Cheer. (2018). Combining Artificial and Natural Background Noise in Personal Audio Systems. IEEE SigPort. http://sigport.org/3380
Daniel Wallace, Jordan Cheer, 2018. Combining Artificial and Natural Background Noise in Personal Audio Systems. Available at: http://sigport.org/3380.
Daniel Wallace, Jordan Cheer. (2018). "Combining Artificial and Natural Background Noise in Personal Audio Systems." Web.
1. Daniel Wallace, Jordan Cheer. Combining Artificial and Natural Background Noise in Personal Audio Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3380

Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering

Sina Hafezi

Paper Details

Authors:
Sina Hafezi
Sina Hafezi, Alastair H. Moore, Patrick A. Naylor
Submitted On:
9 July 2018 - 7:12pm
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DBSCAN.pdf

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[1] Sina Hafezi, Alastair H. Moore, Patrick A. Naylor, "Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3378. Accessed: Mar. 21, 2019.
@article{3378-18,
url = {http://sigport.org/3378},
author = {Sina Hafezi; Alastair H. Moore; Patrick A. Naylor },
publisher = {IEEE SigPort},
title = {Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering},
year = {2018} }
TY - EJOUR
T1 - Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering
AU - Sina Hafezi; Alastair H. Moore; Patrick A. Naylor
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3378
ER -
Sina Hafezi, Alastair H. Moore, Patrick A. Naylor. (2018). Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering. IEEE SigPort. http://sigport.org/3378
Sina Hafezi, Alastair H. Moore, Patrick A. Naylor, 2018. Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering. Available at: http://sigport.org/3378.
Sina Hafezi, Alastair H. Moore, Patrick A. Naylor. (2018). "Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering." Web.
1. Sina Hafezi, Alastair H. Moore, Patrick A. Naylor. Robust Source Counting and Acoustic DOA Estimation using Density-based Clustering [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3378

Adaptive Near-Field Imaging with Robotic Arrays

Belal Korany

In this paper, we are interested in phased-array
imaging of an unknown area using narrowband RF signals and
arrays synthesized by an unmanned vehicle. Typical phased
array imaging approaches use fixed or pre-determined array
configurations for imaging, which are not usually informative
for the whole area. In this paper, we then propose an iterative
adaptive imaging approach where we identify the uncertain
regions in an initial image that need to be sensed better, find
the optimal array location and orientation for such a sensing

Paper Details

Authors:
Belal Korany
Chitra Karanam, Yasamin Mostofi
Submitted On:
9 July 2018 - 5:22pm
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KoranyKaranamMostofi_SAM18.pdf

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[1] Chitra Karanam, Yasamin Mostofi, "Adaptive Near-Field Imaging with Robotic Arrays", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3377. Accessed: Mar. 21, 2019.
@article{3377-18,
url = {http://sigport.org/3377},
author = {Chitra Karanam; Yasamin Mostofi },
publisher = {IEEE SigPort},
title = {Adaptive Near-Field Imaging with Robotic Arrays},
year = {2018} }
TY - EJOUR
T1 - Adaptive Near-Field Imaging with Robotic Arrays
AU - Chitra Karanam; Yasamin Mostofi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3377
ER -
Chitra Karanam, Yasamin Mostofi. (2018). Adaptive Near-Field Imaging with Robotic Arrays. IEEE SigPort. http://sigport.org/3377
Chitra Karanam, Yasamin Mostofi, 2018. Adaptive Near-Field Imaging with Robotic Arrays. Available at: http://sigport.org/3377.
Chitra Karanam, Yasamin Mostofi. (2018). "Adaptive Near-Field Imaging with Robotic Arrays." Web.
1. Chitra Karanam, Yasamin Mostofi. Adaptive Near-Field Imaging with Robotic Arrays [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3377

Subspace-Based Imaging Using Only Power Measurements

Belal Korany

In this paper, we are interested in the high-resolution
imaging of an unknown area based on only power measurements
of a small number of wireless transceivers located on one
side of the unknown area. In order to do so, we propose a
framework that achieves a polynomial order reduction in the
number of antennas required for high-resolution imaging. More
specifically, we show that by spacing the antennas at multiples
of the wavelength and applying subspace-based analysis, we can
image M targets using only 2M+1 transmit/receive antennas (as

Paper Details

Authors:
Belal Korany
Saandeep Depatla, Yasamin Mostofi
Submitted On:
9 July 2018 - 5:24pm
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KoranyDepatlaMostofi_SAM18_poster.pdf

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[1] Saandeep Depatla, Yasamin Mostofi, "Subspace-Based Imaging Using Only Power Measurements", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3376. Accessed: Mar. 21, 2019.
@article{3376-18,
url = {http://sigport.org/3376},
author = {Saandeep Depatla; Yasamin Mostofi },
publisher = {IEEE SigPort},
title = {Subspace-Based Imaging Using Only Power Measurements},
year = {2018} }
TY - EJOUR
T1 - Subspace-Based Imaging Using Only Power Measurements
AU - Saandeep Depatla; Yasamin Mostofi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3376
ER -
Saandeep Depatla, Yasamin Mostofi. (2018). Subspace-Based Imaging Using Only Power Measurements. IEEE SigPort. http://sigport.org/3376
Saandeep Depatla, Yasamin Mostofi, 2018. Subspace-Based Imaging Using Only Power Measurements. Available at: http://sigport.org/3376.
Saandeep Depatla, Yasamin Mostofi. (2018). "Subspace-Based Imaging Using Only Power Measurements." Web.
1. Saandeep Depatla, Yasamin Mostofi. Subspace-Based Imaging Using Only Power Measurements [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3376

Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming

Ganapati Hegde

Hybrid analog-digital beamforming has been shown to reduce hardware cost and power consumption in massive MIMO systems, at the expense of increased radiated power for given performance targets. To alleviate the above shortfall, in this paper we exploit the concept of constructive interference (CI) that has been shown to offer significant radiated power savings in fully-digital multi-user downlink MIMO systems. We explore analog beamforming design, and develop solutions specifically tailored for CI-based hybrid beamforming.

Paper Details

Authors:
Ganapati Hegde
Ganapati Hegde, Christos Masouros, Marius Pesavento
Submitted On:
9 July 2018 - 12:45pm
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HBF_poster.pdf

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[1] Ganapati Hegde, Christos Masouros, Marius Pesavento, "Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3375. Accessed: Mar. 21, 2019.
@article{3375-18,
url = {http://sigport.org/3375},
author = {Ganapati Hegde; Christos Masouros; Marius Pesavento },
publisher = {IEEE SigPort},
title = {Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming},
year = {2018} }
TY - EJOUR
T1 - Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming
AU - Ganapati Hegde; Christos Masouros; Marius Pesavento
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3375
ER -
Ganapati Hegde, Christos Masouros, Marius Pesavento. (2018). Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming. IEEE SigPort. http://sigport.org/3375
Ganapati Hegde, Christos Masouros, Marius Pesavento, 2018. Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming. Available at: http://sigport.org/3375.
Ganapati Hegde, Christos Masouros, Marius Pesavento. (2018). "Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming." Web.
1. Ganapati Hegde, Christos Masouros, Marius Pesavento. Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3375

Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems

Ganapati Hegde

In this paper, we consider a multi-user massive MIMO network with hybrid beamforming architecture at the base station. The objective is to jointly perform user selection and design analog-digital hybrid beamformers in order to maximize a given utility function while satisfying various pertinent constraints. The problem is combinatorial and impractical to solve

Paper Details

Authors:
Ganapati Hegde
Ganapati Hegde, Marius Pesavento
Submitted On:
9 July 2018 - 12:48pm
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HYBEEM_poster.pdf

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[1] Ganapati Hegde, Marius Pesavento , "Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3374. Accessed: Mar. 21, 2019.
@article{3374-18,
url = {http://sigport.org/3374},
author = {Ganapati Hegde; Marius Pesavento },
publisher = {IEEE SigPort},
title = {Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems},
year = {2018} }
TY - EJOUR
T1 - Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems
AU - Ganapati Hegde; Marius Pesavento
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3374
ER -
Ganapati Hegde, Marius Pesavento . (2018). Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems. IEEE SigPort. http://sigport.org/3374
Ganapati Hegde, Marius Pesavento , 2018. Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems. Available at: http://sigport.org/3374.
Ganapati Hegde, Marius Pesavento . (2018). "Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems." Web.
1. Ganapati Hegde, Marius Pesavento . Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3374

An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems

Mostafa Khalili Marandi

To solve the problem of beam selection or capturing the highest possible signal power, we propose a sequential test that can adapt to the SNR operating point and speed up the selection procedure in terms of the number of required observations in comparison to a perfectly tuned fixed length test assuming genie knowledge.

Paper Details

Authors:
Mostafa Khalili Marandi
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis
Submitted On:
8 July 2018 - 5:07pm
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SAM_presentation_July2018.pdf

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[1] Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis, "An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3373. Accessed: Mar. 21, 2019.
@article{3373-18,
url = {http://sigport.org/3373},
author = {Mostafa Khalili Marandi; Wolfgang Rave; Gerhard Fettweis },
publisher = {IEEE SigPort},
title = {An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems},
year = {2018} }
TY - EJOUR
T1 - An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems
AU - Mostafa Khalili Marandi; Wolfgang Rave; Gerhard Fettweis
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3373
ER -
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. (2018). An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems. IEEE SigPort. http://sigport.org/3373
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis, 2018. An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems. Available at: http://sigport.org/3373.
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. (2018). "An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems." Web.
1. Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3373

Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain

Yuhta Takida
Shoichi Koyama
Natsuki Ueno

A gridless sound field decomposition method based on the reciprocity gap functional (RGF) is proposed. An intuitive and powerful way of reconstructing a sound field inside a region including sound sources is to decompose the sound field into Green's functions. Current methods based on sparse representation require discretization of the reconstruction region into grid points to construct the dictionary matrix; however, this procedure causes an off-grid problem and has a high computational cost.

Paper Details

Authors:
Yuhta Takida
Shoichi Koyama
Natsuki Ueno
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari
Submitted On:
8 July 2018 - 11:01am
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main.pdf

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[1] Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari, "Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3372. Accessed: Mar. 21, 2019.
@article{3372-18,
url = {http://sigport.org/3372},
author = {Yuhta Takida; Shoichi Koyama; Natsuki Ueno; Hiroshi Saruwatari },
publisher = {IEEE SigPort},
title = {Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain},
year = {2018} }
TY - EJOUR
T1 - Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain
AU - Yuhta Takida; Shoichi Koyama; Natsuki Ueno; Hiroshi Saruwatari
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3372
ER -
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari. (2018). Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain. IEEE SigPort. http://sigport.org/3372
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari, 2018. Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain. Available at: http://sigport.org/3372.
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari. (2018). "Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain." Web.
1. Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari. Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3372

Symmetric Sparse Linear Array for Active Imaging

Robin Rajamaki

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.

Paper Details

Authors:
Robin Rajamaki
Visa Koivunen
Submitted On:
8 July 2018 - 5:20am
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sam_slides.pdf

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[1] Visa Koivunen, "Symmetric Sparse Linear Array for Active Imaging", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3371. Accessed: Mar. 21, 2019.
@article{3371-18,
url = {http://sigport.org/3371},
author = {Visa Koivunen },
publisher = {IEEE SigPort},
title = {Symmetric Sparse Linear Array for Active Imaging},
year = {2018} }
TY - EJOUR
T1 - Symmetric Sparse Linear Array for Active Imaging
AU - Visa Koivunen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3371
ER -
Visa Koivunen. (2018). Symmetric Sparse Linear Array for Active Imaging. IEEE SigPort. http://sigport.org/3371
Visa Koivunen, 2018. Symmetric Sparse Linear Array for Active Imaging. Available at: http://sigport.org/3371.
Visa Koivunen. (2018). "Symmetric Sparse Linear Array for Active Imaging." Web.
1. Visa Koivunen. Symmetric Sparse Linear Array for Active Imaging [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3371

Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments

Nicholas Mastronarde

We study multi-agent task allocation where multiple tasks must be divided among multiple autonomous robots. Algorithms
for solving such problems are typically developed under the assumption of perfect communication, without considering
the lossy nature of the underlying wireless network. In this paper, leveraging a sophisticated unmanned aerial vehicle (UAV)

Paper Details

Authors:
Nicholas Mastronarde
Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu
Submitted On:
6 July 2018 - 4:59pm
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Mastronarde - ACBBA in Lossy Networks

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[1] Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu, "Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3370. Accessed: Mar. 21, 2019.
@article{3370-18,
url = {http://sigport.org/3370},
author = {Matthew Rantanen; Jalil Modares; Nicholas Mastronarde; Farshad Ghanei; Karthik Dantu },
publisher = {IEEE SigPort},
title = {Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments},
year = {2018} }
TY - EJOUR
T1 - Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments
AU - Matthew Rantanen; Jalil Modares; Nicholas Mastronarde; Farshad Ghanei; Karthik Dantu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3370
ER -
Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu. (2018). Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments. IEEE SigPort. http://sigport.org/3370
Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu, 2018. Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments. Available at: http://sigport.org/3370.
Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu. (2018). "Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments." Web.
1. Matthew Rantanen, Jalil Modares, Nicholas Mastronarde, Farshad Ghanei, Karthik Dantu. Performance of the Asynchronous Consensus Based Bundle Algorithm in Lossy Network Environments [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3370

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