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Sensor Array and Multichannel Signal Processing

CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION

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Authors:
Jinyuan Zhao, Prakash Ishwar, Janusz Konrad
Submitted On:
19 September 2019 - 12:20am
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[1] Jinyuan Zhao, Prakash Ishwar, Janusz Konrad, "CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4705. Accessed: Oct. 17, 2019.
@article{4705-19,
url = {http://sigport.org/4705},
author = {Jinyuan Zhao; Prakash Ishwar; Janusz Konrad },
publisher = {IEEE SigPort},
title = {CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION},
year = {2019} }
TY - EJOUR
T1 - CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION
AU - Jinyuan Zhao; Prakash Ishwar; Janusz Konrad
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4705
ER -
Jinyuan Zhao, Prakash Ishwar, Janusz Konrad. (2019). CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION. IEEE SigPort. http://sigport.org/4705
Jinyuan Zhao, Prakash Ishwar, Janusz Konrad, 2019. CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION. Available at: http://sigport.org/4705.
Jinyuan Zhao, Prakash Ishwar, Janusz Konrad. (2019). "CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION." Web.
1. Jinyuan Zhao, Prakash Ishwar, Janusz Konrad. CNN-BASED INDOOR OCCUPANT LOCALIZATION VIA ACTIVE SCENE ILLUMINATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4705

A Data-Selective LS Solution to TDOA-based Source Localization


In this paper, the localization of an emitter based on Time Difference of Arrival (TDoA) has been investigated. The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem. Recently, an extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.

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Authors:
José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos
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8 May 2019 - 11:34am
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PosterTDOA.pdf

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[1] José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos, "A Data-Selective LS Solution to TDOA-based Source Localization", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4117. Accessed: Oct. 17, 2019.
@article{4117-19,
url = {http://sigport.org/4117},
author = {José Antonio Apolinário Jr.; Hamed Yazdanpanah; A. S. Nascimento F.; Marcello L. R. de Campos },
publisher = {IEEE SigPort},
title = {A Data-Selective LS Solution to TDOA-based Source Localization},
year = {2019} }
TY - EJOUR
T1 - A Data-Selective LS Solution to TDOA-based Source Localization
AU - José Antonio Apolinário Jr.; Hamed Yazdanpanah; A. S. Nascimento F.; Marcello L. R. de Campos
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4117
ER -
José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos. (2019). A Data-Selective LS Solution to TDOA-based Source Localization. IEEE SigPort. http://sigport.org/4117
José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos, 2019. A Data-Selective LS Solution to TDOA-based Source Localization. Available at: http://sigport.org/4117.
José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos. (2019). "A Data-Selective LS Solution to TDOA-based Source Localization." Web.
1. José Antonio Apolinário Jr., Hamed Yazdanpanah, A. S. Nascimento F., Marcello L. R. de Campos. A Data-Selective LS Solution to TDOA-based Source Localization [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4117

ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM


Moving platforms enable sparse arrays to assume higher degrees of freedom and lead to increased number of lags. In essence, array motion can fill the holes in the spatial autocorrelation lags associated with a fixed platform and, therefore, increase the number of sources detectable by the same number of physical array sensors. In this paper, we consider coprime arrays, and assume quasi-stationarity of the environment, where the source locations and waveforms are considered invariant over array motion of half wavelength.

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Authors:
Guodong Qin, Moeness G. Amin, and Yimin D. Zhang
Submitted On:
7 May 2019 - 8:45pm
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[1] Guodong Qin, Moeness G. Amin, and Yimin D. Zhang, "ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3975. Accessed: Oct. 17, 2019.
@article{3975-19,
url = {http://sigport.org/3975},
author = {Guodong Qin; Moeness G. Amin; and Yimin D. Zhang },
publisher = {IEEE SigPort},
title = {ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM},
year = {2019} }
TY - EJOUR
T1 - ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM
AU - Guodong Qin; Moeness G. Amin; and Yimin D. Zhang
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3975
ER -
Guodong Qin, Moeness G. Amin, and Yimin D. Zhang. (2019). ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM. IEEE SigPort. http://sigport.org/3975
Guodong Qin, Moeness G. Amin, and Yimin D. Zhang, 2019. ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM. Available at: http://sigport.org/3975.
Guodong Qin, Moeness G. Amin, and Yimin D. Zhang. (2019). "ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM." Web.
1. Guodong Qin, Moeness G. Amin, and Yimin D. Zhang. ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3975

DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND


In the 3.5 GHz Citizens Broadband Radio Service (CBRS), 100 MHz of spectrum will be shared between commercial users and federal incumbents. Dynamic use of the band relies on a network of sensors dedicated to detecting the presence of federal incumbent signals and triggering protection mechanisms when necessary. This paper uses field-measured waveforms of incumbent signals in and adjacent to the band to evaluate the performance of matched-filter detectors for these sensors.

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Authors:
Michael Souryal, Wen-Bin Yang
Submitted On:
19 November 2018 - 1:36pm
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globalSIP_DETECTION OF INCUMBENT RADAR IN CBRS BAND.pdf

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[1] Michael Souryal, Wen-Bin Yang, "DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3686. Accessed: Oct. 17, 2019.
@article{3686-18,
url = {http://sigport.org/3686},
author = {Michael Souryal; Wen-Bin Yang },
publisher = {IEEE SigPort},
title = {DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND},
year = {2018} }
TY - EJOUR
T1 - DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND
AU - Michael Souryal; Wen-Bin Yang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3686
ER -
Michael Souryal, Wen-Bin Yang. (2018). DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND. IEEE SigPort. http://sigport.org/3686
Michael Souryal, Wen-Bin Yang, 2018. DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND. Available at: http://sigport.org/3686.
Michael Souryal, Wen-Bin Yang. (2018). "DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND." Web.
1. Michael Souryal, Wen-Bin Yang. DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3686

Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise

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Submitted On:
6 July 2018 - 1:36am
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SAM2018最新版.pdf

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[1] , "Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3365. Accessed: Oct. 17, 2019.
@article{3365-18,
url = {http://sigport.org/3365},
author = { },
publisher = {IEEE SigPort},
title = {Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise},
year = {2018} }
TY - EJOUR
T1 - Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3365
ER -
. (2018). Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise. IEEE SigPort. http://sigport.org/3365
, 2018. Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise. Available at: http://sigport.org/3365.
. (2018). "Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise." Web.
1. . Subspace-Based Localization of Near-Field Signals in Unknown Nonuniform Noise [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3365

Short Data Record Filtering for Adaptive Underwater Acoustic Communications

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Authors:
Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama
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5 July 2018 - 9:39pm
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Gannon-AVforUWA-SAM2018.pdf

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[1] Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama, "Short Data Record Filtering for Adaptive Underwater Acoustic Communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3363. Accessed: Oct. 17, 2019.
@article{3363-18,
url = {http://sigport.org/3363},
author = {Adam Gannon; Sarankumar Balakrishnan; George Sklivanitis; Dimitris A. Pados; Stella N. Batalama },
publisher = {IEEE SigPort},
title = {Short Data Record Filtering for Adaptive Underwater Acoustic Communications},
year = {2018} }
TY - EJOUR
T1 - Short Data Record Filtering for Adaptive Underwater Acoustic Communications
AU - Adam Gannon; Sarankumar Balakrishnan; George Sklivanitis; Dimitris A. Pados; Stella N. Batalama
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3363
ER -
Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama. (2018). Short Data Record Filtering for Adaptive Underwater Acoustic Communications. IEEE SigPort. http://sigport.org/3363
Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama, 2018. Short Data Record Filtering for Adaptive Underwater Acoustic Communications. Available at: http://sigport.org/3363.
Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama. (2018). "Short Data Record Filtering for Adaptive Underwater Acoustic Communications." Web.
1. Adam Gannon, Sarankumar Balakrishnan, George Sklivanitis, Dimitris A. Pados, Stella N. Batalama. Short Data Record Filtering for Adaptive Underwater Acoustic Communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3363

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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Submitted On:
5 July 2018 - 1:22pm
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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: Oct. 17, 2019.
@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

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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[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: Oct. 17, 2019.
@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

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: Oct. 17, 2019.
@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

Zhonghan Wang's poster

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Authors:
Zhonghan Wang, Yaoliang Song, Tong Mu
Submitted On:
28 June 2018 - 11:22pm
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[1] Zhonghan Wang, Yaoliang Song, Tong Mu, "Zhonghan Wang's poster", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3339. Accessed: Oct. 17, 2019.
@article{3339-18,
url = {http://sigport.org/3339},
author = {Zhonghan Wang; Yaoliang Song; Tong Mu },
publisher = {IEEE SigPort},
title = {Zhonghan Wang's poster},
year = {2018} }
TY - EJOUR
T1 - Zhonghan Wang's poster
AU - Zhonghan Wang; Yaoliang Song; Tong Mu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3339
ER -
Zhonghan Wang, Yaoliang Song, Tong Mu. (2018). Zhonghan Wang's poster. IEEE SigPort. http://sigport.org/3339
Zhonghan Wang, Yaoliang Song, Tong Mu, 2018. Zhonghan Wang's poster. Available at: http://sigport.org/3339.
Zhonghan Wang, Yaoliang Song, Tong Mu. (2018). "Zhonghan Wang's poster." Web.
1. Zhonghan Wang, Yaoliang Song, Tong Mu. Zhonghan Wang's poster [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3339

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