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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. 

Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model


Traditional directional modulation (DM) designs are based on the assumption that there is no multi-path effect between

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5 July 2018 - 1:22pm
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poster-sheffield-conference.pdf

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[1] , "Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3359. Accessed: Jul. 16, 2018.
@article{3359-18,
url = {http://sigport.org/3359},
author = { },
publisher = {IEEE SigPort},
title = {Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model},
year = {2018} }
TY - EJOUR
T1 - Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3359
ER -
. (2018). Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model. IEEE SigPort. http://sigport.org/3359
, 2018. Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model. Available at: http://sigport.org/3359.
. (2018). "Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model." Web.
1. . Antenna Array Based Positional Modulation with a Two-Ray Multi-Path Model [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3359

Performance analysis of distributed radio interferometric calibration


Distributed calibration based on consensus optimization is a computationally efficient method to calibrate large radio interferometers such as LOFAR and SKA. Calibrating along multiple directions in the sky and removing the bright foreground signal is a crucial step in many science cases in radio interferometry. The residual data contain weak signals of huge scientific interest and of particular concern is the effect of incomplete sky models used in calibration on the residual. In order to study this, we consider the mapping between the input uncalibrated data and the output residual data.

lofar75.pdf

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5 July 2018 - 7:23am
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lofar75.pdf

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[1] , "Performance analysis of distributed radio interferometric calibration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3358. Accessed: Jul. 16, 2018.
@article{3358-18,
url = {http://sigport.org/3358},
author = { },
publisher = {IEEE SigPort},
title = {Performance analysis of distributed radio interferometric calibration},
year = {2018} }
TY - EJOUR
T1 - Performance analysis of distributed radio interferometric calibration
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3358
ER -
. (2018). Performance analysis of distributed radio interferometric calibration. IEEE SigPort. http://sigport.org/3358
, 2018. Performance analysis of distributed radio interferometric calibration. Available at: http://sigport.org/3358.
. (2018). "Performance analysis of distributed radio interferometric calibration." Web.
1. . Performance analysis of distributed radio interferometric calibration [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3358

Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)

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5 July 2018 - 6:52am
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Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation).pdf

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[1] , "Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3357. Accessed: Jul. 16, 2018.
@article{3357-18,
url = {http://sigport.org/3357},
author = { },
publisher = {IEEE SigPort},
title = {Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)},
year = {2018} }
TY - EJOUR
T1 - Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3357
ER -
. (2018). Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation). IEEE SigPort. http://sigport.org/3357
, 2018. Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation). Available at: http://sigport.org/3357.
. (2018). "Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)." Web.
1. . Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation) [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3357

Non-linear source separation under the Langmuir model for chemical sensors

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Authors:
Pierre Maho, Simon Barthelmé, Pierre Comon
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5 July 2018 - 4:36am
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IEEE_SAM_2018_LangmuirBSS.pdf

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[1] Pierre Maho, Simon Barthelmé, Pierre Comon, "Non-linear source separation under the Langmuir model for chemical sensors", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3356. Accessed: Jul. 16, 2018.
@article{3356-18,
url = {http://sigport.org/3356},
author = {Pierre Maho; Simon Barthelmé; Pierre Comon },
publisher = {IEEE SigPort},
title = {Non-linear source separation under the Langmuir model for chemical sensors},
year = {2018} }
TY - EJOUR
T1 - Non-linear source separation under the Langmuir model for chemical sensors
AU - Pierre Maho; Simon Barthelmé; Pierre Comon
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3356
ER -
Pierre Maho, Simon Barthelmé, Pierre Comon. (2018). Non-linear source separation under the Langmuir model for chemical sensors. IEEE SigPort. http://sigport.org/3356
Pierre Maho, Simon Barthelmé, Pierre Comon, 2018. Non-linear source separation under the Langmuir model for chemical sensors. Available at: http://sigport.org/3356.
Pierre Maho, Simon Barthelmé, Pierre Comon. (2018). "Non-linear source separation under the Langmuir model for chemical sensors." Web.
1. Pierre Maho, Simon Barthelmé, Pierre Comon. Non-linear source separation under the Langmuir model for chemical sensors [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3356

The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications


With the increasing trend of unmanned aerial vehi-cles (UAVs) applications, UAV-based base station (BS) has gained significant popularity for rapid deployable networks. Compared with the fixed infrastructure that could be severally disrupted in the case of natural disasters, the UAV-based BSs are easily for deployment and can provide the emergency communication in the target areas. In addition, for the limited power supply in UAV, energy-efficient transmission is also essential in the wireless coverage. Accordingly, in this paper we focus our attention on

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Authors:
Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo
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5 July 2018 - 3:23am
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SAM120cmX80cm.pdf

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[1] Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo, "The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3355. Accessed: Jul. 16, 2018.
@article{3355-18,
url = {http://sigport.org/3355},
author = {Bin Li; Chao Chen; Ruonan Zhang; Hong Jiang; Xianzhen Guo },
publisher = {IEEE SigPort},
title = {The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications},
year = {2018} }
TY - EJOUR
T1 - The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications
AU - Bin Li; Chao Chen; Ruonan Zhang; Hong Jiang; Xianzhen Guo
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3355
ER -
Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo. (2018). The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications. IEEE SigPort. http://sigport.org/3355
Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo, 2018. The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications. Available at: http://sigport.org/3355.
Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo. (2018). "The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications." Web.
1. Bin Li, Chao Chen, Ruonan Zhang, Hong Jiang, Xianzhen Guo. The Energy-efficient UAV-based BS Coverage in Air-to-Ground Communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3355

Online Mutual Coupling Calibration Using a Signal Source at Unknown Location

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Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan
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5 July 2018 - 3:11am
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Poster-Wei.pdf

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[1] Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan, "Online Mutual Coupling Calibration Using a Signal Source at Unknown Location", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3354. Accessed: Jul. 16, 2018.
@article{3354-18,
url = {http://sigport.org/3354},
author = {Tong Wei; Bin Liao; Huiping Huang; and Zhi Quan },
publisher = {IEEE SigPort},
title = {Online Mutual Coupling Calibration Using a Signal Source at Unknown Location},
year = {2018} }
TY - EJOUR
T1 - Online Mutual Coupling Calibration Using a Signal Source at Unknown Location
AU - Tong Wei; Bin Liao; Huiping Huang; and Zhi Quan
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3354
ER -
Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan. (2018). Online Mutual Coupling Calibration Using a Signal Source at Unknown Location. IEEE SigPort. http://sigport.org/3354
Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan, 2018. Online Mutual Coupling Calibration Using a Signal Source at Unknown Location. Available at: http://sigport.org/3354.
Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan. (2018). "Online Mutual Coupling Calibration Using a Signal Source at Unknown Location." Web.
1. Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan. Online Mutual Coupling Calibration Using a Signal Source at Unknown Location [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3354

Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks


In this paper, we propose a rate-distributed linearly constrained minimum variance (LCMV) beamformer for joint noise reduction and spatial cue preservation for assistive hearing in wireless acoustic sensor networks (WASNs). The WASN can consist of wireless communicating hearing aids, extended with additional wireless microphones. Due to the fact that each sensor node has a limited power budget, it is essential to consider the energy usage when designing algorithms for such WASNs.

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Authors:
Jie Zhang, Richard Heusdens, Richard C. Hendriks
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5 July 2018 - 3:01am
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Jie_SAMslides_tudelft.pdf

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[1] Jie Zhang, Richard Heusdens, Richard C. Hendriks, "Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3353. Accessed: Jul. 16, 2018.
@article{3353-18,
url = {http://sigport.org/3353},
author = {Jie Zhang; Richard Heusdens; Richard C. Hendriks },
publisher = {IEEE SigPort},
title = {Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks},
year = {2018} }
TY - EJOUR
T1 - Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks
AU - Jie Zhang; Richard Heusdens; Richard C. Hendriks
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3353
ER -
Jie Zhang, Richard Heusdens, Richard C. Hendriks. (2018). Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks. IEEE SigPort. http://sigport.org/3353
Jie Zhang, Richard Heusdens, Richard C. Hendriks, 2018. Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks. Available at: http://sigport.org/3353.
Jie Zhang, Richard Heusdens, Richard C. Hendriks. (2018). "Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks." Web.
1. Jie Zhang, Richard Heusdens, Richard C. Hendriks. Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3353

Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling


This paper investigates the delay-Doppler estimation problem of a pulse-Doppler radar which samples and quantizes the noisy echo signals to one-bit measurements.By applying a multichannel one-bit sampling scheme, we formulate the delay-Doppler estimation as a structured low-rank matrix recovery problem.Then the one-bit atomic norm soft-thresholding method is proposed to recover the low-rank matrix, in which a surrogate matrix is properly designed to evaluate the proximity of the recovered data to the sampled one.With the recovered low-rank matrix, the delays and Doppler frequencies can be d

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Authors:
Feng Xi; Shengyao Chen
Submitted On:
4 July 2018 - 10:53pm
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SAM2018_Poster.pdf

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[1] Feng Xi; Shengyao Chen, "Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3352. Accessed: Jul. 16, 2018.
@article{3352-18,
url = {http://sigport.org/3352},
author = {Feng Xi; Shengyao Chen },
publisher = {IEEE SigPort},
title = {Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling},
year = {2018} }
TY - EJOUR
T1 - Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling
AU - Feng Xi; Shengyao Chen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3352
ER -
Feng Xi; Shengyao Chen. (2018). Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling. IEEE SigPort. http://sigport.org/3352
Feng Xi; Shengyao Chen, 2018. Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling. Available at: http://sigport.org/3352.
Feng Xi; Shengyao Chen. (2018). "Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling." Web.
1. Feng Xi; Shengyao Chen. Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3352

Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD


This paper studies the impact of estimation errors in the sample space-time covariance matrix on its parahermitian matrix eigenvalue decomposition. We provide theoretical bounds for the perturbation of the ground-truth eigenvalues and of the subspaces of their corresponding eigenvectors. We show that for the eigenvalues, the perturbation depends on the norm of the estimation error in the space-time covariance matrix, while the perturbation of eigenvector subspaces can additionally be influenced by the distance between the eigenvalues. We confirm these theoretical results by simulations.

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Authors:
Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss
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4 July 2018 - 5:17am
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sam_p18a_a0.pdf

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[1] Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss, "Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3351. Accessed: Jul. 16, 2018.
@article{3351-18,
url = {http://sigport.org/3351},
author = {Connor Delaosa; Fraser K. Coutts; Jennifer Pestana; Stephan Weiss },
publisher = {IEEE SigPort},
title = {Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD},
year = {2018} }
TY - EJOUR
T1 - Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD
AU - Connor Delaosa; Fraser K. Coutts; Jennifer Pestana; Stephan Weiss
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3351
ER -
Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss. (2018). Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD. IEEE SigPort. http://sigport.org/3351
Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss, 2018. Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD. Available at: http://sigport.org/3351.
Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss. (2018). "Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD." Web.
1. Connor Delaosa, Fraser K. Coutts, Jennifer Pestana, Stephan Weiss. Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3351

Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks


The Steered Response Power with phase transform (SRP-PHAT) is one of the most employed techniques for Direction of Arrival (DOA) estimation with microphone arrays due its robustness against acoustical conditions as reverberation or noise. Among its main drawbacks is the growth of its computational complexity when the search space increases. To solve this issue, we propose the use of Neural Networks (NN) to obtain the DOA as a regression problem from a low resolution SRP-PHAT power map.

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Authors:
Jose Ramon Beltran
Submitted On:
3 July 2018 - 5:28am
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Poster

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[1] Jose Ramon Beltran, "Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3350. Accessed: Jul. 16, 2018.
@article{3350-18,
url = {http://sigport.org/3350},
author = {Jose Ramon Beltran },
publisher = {IEEE SigPort},
title = {Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks},
year = {2018} }
TY - EJOUR
T1 - Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks
AU - Jose Ramon Beltran
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3350
ER -
Jose Ramon Beltran. (2018). Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks. IEEE SigPort. http://sigport.org/3350
Jose Ramon Beltran, 2018. Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks. Available at: http://sigport.org/3350.
Jose Ramon Beltran. (2018). "Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks." Web.
1. Jose Ramon Beltran. Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT and Neural Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3350

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