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Applications of Sensor Array and Multi-channel Signal Processing

TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM


We study a cooperative transmission scheme for a joint multiple-input-multiple-output (MIMO) radar and multi-user (MU) MIMO downlink communication system, where both systems operate on the same frequency band simultaneously. Maximization of the total weighted system mutual information or sum rate is considered with the presence of an extended target and environmental clutter. An alternating optimization based iterative algorithm is proposed to find the transmit covariance matrices for both radar and communication applications.

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Authors:
Mohammad Saquib
Submitted On:
2 December 2018 - 6:45pm
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GlobalSIP.pdf

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[1] Mohammad Saquib, "TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3838. Accessed: Mar. 21, 2019.
@article{3838-18,
url = {http://sigport.org/3838},
author = {Mohammad Saquib },
publisher = {IEEE SigPort},
title = {TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM},
year = {2018} }
TY - EJOUR
T1 - TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM
AU - Mohammad Saquib
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3838
ER -
Mohammad Saquib. (2018). TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM. IEEE SigPort. http://sigport.org/3838
Mohammad Saquib, 2018. TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM. Available at: http://sigport.org/3838.
Mohammad Saquib. (2018). "TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM." Web.
1. Mohammad Saquib. TRANSMISSION DESIGN FOR A JOINT MIMO RADAR AND MU-MIMO DOWNLINK COMMUNICATION SYSTEM [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3838

Blind Co-Channel Source Separation in Sparse Interferometric Arrays

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Authors:
Ben A. Johnson, Douglas A. Schuyler
Submitted On:
21 November 2018 - 5:28pm
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Blind_Co-Channel_Source_Separation_in_Sparse_Interferometric_Arrays.pdf

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[1] Ben A. Johnson, Douglas A. Schuyler, "Blind Co-Channel Source Separation in Sparse Interferometric Arrays", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3704. Accessed: Mar. 21, 2019.
@article{3704-18,
url = {http://sigport.org/3704},
author = {Ben A. Johnson; Douglas A. Schuyler },
publisher = {IEEE SigPort},
title = {Blind Co-Channel Source Separation in Sparse Interferometric Arrays},
year = {2018} }
TY - EJOUR
T1 - Blind Co-Channel Source Separation in Sparse Interferometric Arrays
AU - Ben A. Johnson; Douglas A. Schuyler
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3704
ER -
Ben A. Johnson, Douglas A. Schuyler. (2018). Blind Co-Channel Source Separation in Sparse Interferometric Arrays. IEEE SigPort. http://sigport.org/3704
Ben A. Johnson, Douglas A. Schuyler, 2018. Blind Co-Channel Source Separation in Sparse Interferometric Arrays. Available at: http://sigport.org/3704.
Ben A. Johnson, Douglas A. Schuyler. (2018). "Blind Co-Channel Source Separation in Sparse Interferometric Arrays." Web.
1. Ben A. Johnson, Douglas A. Schuyler. Blind Co-Channel Source Separation in Sparse Interferometric Arrays [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3704

Toward Tracking Multiple Building Occupants by Footstep Vibrations


Several researchers recently demonstrated that it is feasible to locate building occupants solely from measured footstep vibrations. The research reported here applies that capability to track multiple building occupants in motion. In contrast to many indoor tracking methods based on wireless technology, this method frees individuals from the need to carry a device, and, furthermore, permits localization and tracking in facilities that restrict or prohibit wireless devices or cameras.

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Authors:
Jeffrey Poston
Submitted On:
19 November 2018 - 8:08am
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GlobalSIP2018_Poston_brief.pdf

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[1] Jeffrey Poston, "Toward Tracking Multiple Building Occupants by Footstep Vibrations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3685. Accessed: Mar. 21, 2019.
@article{3685-18,
url = {http://sigport.org/3685},
author = {Jeffrey Poston },
publisher = {IEEE SigPort},
title = {Toward Tracking Multiple Building Occupants by Footstep Vibrations},
year = {2018} }
TY - EJOUR
T1 - Toward Tracking Multiple Building Occupants by Footstep Vibrations
AU - Jeffrey Poston
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3685
ER -
Jeffrey Poston. (2018). Toward Tracking Multiple Building Occupants by Footstep Vibrations. IEEE SigPort. http://sigport.org/3685
Jeffrey Poston, 2018. Toward Tracking Multiple Building Occupants by Footstep Vibrations. Available at: http://sigport.org/3685.
Jeffrey Poston. (2018). "Toward Tracking Multiple Building Occupants by Footstep Vibrations." Web.
1. Jeffrey Poston. Toward Tracking Multiple Building Occupants by Footstep Vibrations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3685

Sine-based EB-ESPRIT for source localization


The eigenbeam-ESPRIT (EB-ESPRIT) is well known as a high-resolution parametric direction-of-arrival (DOA) estimation technique for a spherical microphone array. Unlike other eigenbeam beamformers such as EB-MVDR and EB-MUSIC, there is no need for exhaustive grid-search with EB-ESPRIT. However, when sources are positioned near the equator, the EB-ESPRIT inevitably induces a singularity problem due to the singularity of its tangent function utilized as a directional parameter. Here, a new EB-ESPRIT technique based on a nonsingular directional parameter is proposed.

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Authors:
Byeongho Jo, Jung-Woo Choi
Submitted On:
6 July 2018 - 6:18am
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SAM2018_ByeonghoJo_20180709_ver2_forpdf.pdf

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[1] Byeongho Jo, Jung-Woo Choi, "Sine-based EB-ESPRIT for source localization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3367. Accessed: Mar. 21, 2019.
@article{3367-18,
url = {http://sigport.org/3367},
author = {Byeongho Jo; Jung-Woo Choi },
publisher = {IEEE SigPort},
title = {Sine-based EB-ESPRIT for source localization},
year = {2018} }
TY - EJOUR
T1 - Sine-based EB-ESPRIT for source localization
AU - Byeongho Jo; Jung-Woo Choi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3367
ER -
Byeongho Jo, Jung-Woo Choi. (2018). Sine-based EB-ESPRIT for source localization. IEEE SigPort. http://sigport.org/3367
Byeongho Jo, Jung-Woo Choi, 2018. Sine-based EB-ESPRIT for source localization. Available at: http://sigport.org/3367.
Byeongho Jo, Jung-Woo Choi. (2018). "Sine-based EB-ESPRIT for source localization." Web.
1. Byeongho Jo, Jung-Woo Choi. Sine-based EB-ESPRIT for source localization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3367

A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar


Sea clutters with Doppler-varying spectrum exert a
notable negative impact on the detection performance, especially
with low-velocity targets, when a passive bistatic radar is employed
to detect sea-surface targets. One feasible solution is to
modulate the reference signal onto the Doppler dimension and, as
such, a filter with a wide notch and sharp edges can be obtained
to suppress the residual clutters. However, to achieve this goal, a
considerably high computational complexity is demanded in the

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Authors:
Yahui Ma, Shengheng Liu,Jun Lu
Submitted On:
5 July 2018 - 11:53pm
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[非密]A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar.pptx

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[1] Yahui Ma, Shengheng Liu,Jun Lu, "A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3364. Accessed: Mar. 21, 2019.
@article{3364-18,
url = {http://sigport.org/3364},
author = {Yahui Ma; Shengheng Liu;Jun Lu },
publisher = {IEEE SigPort},
title = {A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar},
year = {2018} }
TY - EJOUR
T1 - A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar
AU - Yahui Ma; Shengheng Liu;Jun Lu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3364
ER -
Yahui Ma, Shengheng Liu,Jun Lu. (2018). A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar. IEEE SigPort. http://sigport.org/3364
Yahui Ma, Shengheng Liu,Jun Lu, 2018. A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar. Available at: http://sigport.org/3364.
Yahui Ma, Shengheng Liu,Jun Lu. (2018). "A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar." Web.
1. Yahui Ma, Shengheng Liu,Jun Lu. A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3364

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.

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Submitted On:
17 July 2018 - 6:22am
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lofar75.pdf

lofar75.pdf

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[1] , "Performance analysis of distributed radio interferometric calibration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3358. Accessed: Mar. 21, 2019.
@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

Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations


RF 30 GHz ray-tracing simulation results are presented from a conceptual, Massive- Multiple Input Multiple Output (M-MIMO) propagation model in an urban canyon. The usage of Constant Envelope (CE) RF signals is evaluated in both

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Authors:
Edward A Ball
Submitted On:
28 June 2018 - 8:13am
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SAMS_post00000001.pdf

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[1] Edward A Ball, "Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3335. Accessed: Mar. 21, 2019.
@article{3335-18,
url = {http://sigport.org/3335},
author = {Edward A Ball },
publisher = {IEEE SigPort},
title = {Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations},
year = {2018} }
TY - EJOUR
T1 - Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations
AU - Edward A Ball
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3335
ER -
Edward A Ball. (2018). Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations. IEEE SigPort. http://sigport.org/3335
Edward A Ball, 2018. Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations. Available at: http://sigport.org/3335.
Edward A Ball. (2018). "Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations." Web.
1. Edward A Ball. Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3335

A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT

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19 April 2018 - 9:35pm
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ICASSP2018_poster.pdf

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[1] , "A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3050. Accessed: Mar. 21, 2019.
@article{3050-18,
url = {http://sigport.org/3050},
author = { },
publisher = {IEEE SigPort},
title = {A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT},
year = {2018} }
TY - EJOUR
T1 - A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3050
ER -
. (2018). A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT. IEEE SigPort. http://sigport.org/3050
, 2018. A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT. Available at: http://sigport.org/3050.
. (2018). "A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT." Web.
1. . A DEEP NEURAL NETWORK BASED METHOD OF SOURCE LOCALIZATION IN A SHALLOWWATER ENVIRONMENT [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3050

Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar


The millimeter wave WLAN standard can be used for joint communication-radar by exploiting the waveform preamble as a radar pulse. The velocity estimation accuracy with this approach, however, is limited due to the short integration time. A physical increase in the radar pulse integration duration, however, leads to a decrease in the communication data rate.

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Authors:
Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr.
Submitted On:
21 April 2018 - 8:31pm
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Poster_VIRTUAL PULSE DESIGN FOR IEEE 802.11AD-BASED JOINT COMMUNICATION-RADAR.pdf

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[1] Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr., "Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2965. Accessed: Mar. 21, 2019.
@article{2965-18,
url = {http://sigport.org/2965},
author = {Preeti Kumari; Sergiy A. Vorobyov; and Robert W. Heath; Jr. },
publisher = {IEEE SigPort},
title = {Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar},
year = {2018} }
TY - EJOUR
T1 - Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar
AU - Preeti Kumari; Sergiy A. Vorobyov; and Robert W. Heath; Jr.
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2965
ER -
Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr.. (2018). Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar. IEEE SigPort. http://sigport.org/2965
Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr., 2018. Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar. Available at: http://sigport.org/2965.
Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr.. (2018). "Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar." Web.
1. Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr.. Virtual Pulse Design for IEEE 802.11ad-Based Joint Communication-Radar [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2965

JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK

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Submitted On:
18 April 2018 - 8:05am
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FrankLIN_Presentation_Joint tracking and separation v3_pptx.pdf

FrankLIN_Presentation_Joint tracking and separation v3_pptx.pdf

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[1] , "JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2806. Accessed: Mar. 21, 2019.
@article{2806-18,
url = {http://sigport.org/2806},
author = { },
publisher = {IEEE SigPort},
title = {JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK},
year = {2018} }
TY - EJOUR
T1 - JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2806
ER -
. (2018). JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK. IEEE SigPort. http://sigport.org/2806
, 2018. JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK. Available at: http://sigport.org/2806.
. (2018). "JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK." Web.
1. . JOINTLY TRACKING AND SEPARATING SPEECH SOURCES USING MULTIPLE FEATURES AND THE GENERALIZED LABELED MULTI-BERNOULLI FRAMEWORK [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2806

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