Sorry, you need to enable JavaScript to visit this website.

Applications of Sensor Array and Multi-channel Signal Processing

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

Jiawei Liu

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.

Paper Details

Authors:
Jiawei Liu
Mohammad Saquib
Submitted On:
2 December 2018 - 6:45pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP.pdf

Keywords

Additional Categories

Subscribe

Send Author a Private Message
[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

Douglas Schuyler

Paper Details

Authors:
Douglas Schuyler
Ben A. Johnson, Douglas A. Schuyler
Submitted On:
21 November 2018 - 5:28pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Blind_Co-Channel_Source_Separation_in_Sparse_Interferometric_Arrays.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Jeffrey Poston

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.

Paper Details

Authors:
Jeffrey Poston
Jeffrey Poston
Submitted On:
19 November 2018 - 8:08am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP2018_Poston_brief.pdf

Keywords

Additional Categories

Subscribe

Send Author a Private Message
[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

Byeongho Jo

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.

Paper Details

Authors:
Byeongho Jo
Byeongho Jo, Jung-Woo Choi
Submitted On:
6 July 2018 - 6:18am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SAM2018_ByeonghoJo_20180709_ver2_forpdf.pdf

Keywords

Subscribe

Send Author a Private Message
[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

MA YAHUI

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

Paper Details

Authors:
MA YAHUI
Yahui Ma, Shengheng Liu,Jun Lu
Submitted On:
5 July 2018 - 11:53pm
Short Link:
Type:
Event:

Document Files

[非密]A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar.pptx

Keywords

Subscribe

Send Author a Private Message
[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

Sarod Yatawatta

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.

Paper Details

Authors:
Sarod Yatawatta
Submitted On:
17 July 2018 - 6:22am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

lofar75.pdf

lofar75.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Athanasios Vasileiadis

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

Paper Details

Authors:
Athanasios Vasileiadis
Edward A Ball
Submitted On:
28 June 2018 - 8:13am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SAMS_post00000001.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Zhaoqiong Huang

Paper Details

Authors:
Zhaoqiong Huang
Submitted On:
19 April 2018 - 9:35pm
Short Link:
Type:
Event:
Paper Code:
Document Year:
Cite

Document Files

ICASSP2018_poster.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Preeti Kumari
Sergiy Vorobyov
Robert Heath

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.

Paper Details

Authors:
Preeti Kumari
Sergiy Vorobyov
Robert Heath
Preeti Kumari, Sergiy A. Vorobyov, and Robert W. Heath, Jr.
Submitted On:
21 April 2018 - 8:31pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Poster_VIRTUAL PULSE DESIGN FOR IEEE 802.11AD-BASED JOINT COMMUNICATION-RADAR.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Shoufeng Lin

Paper Details

Authors:
Shoufeng Lin
Submitted On:
18 April 2018 - 8:05am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

FrankLIN_Presentation_Joint tracking and separation v3_pptx.pdf

FrankLIN_Presentation_Joint tracking and separation v3_pptx.pdf

Keywords

Subscribe

Send Author a Private Message
[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

Pages