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Applications of Sensor Array and Multi-channel Signal Processing

KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION

Anan Du

This paper presents the KPSNet, a KeyPoint Siamese Network to simultaneously learn task-desirable keypoint detector and feature extractor. The keypoint detector is optimized to predict a score vector, which signifies the probability of each candidate being a keypoint. The feature extractor is optimized to learn robust features of keypoints by exploiting the correspondence between the keypoints generated from two inputs, respectively. For training, the KPSNet does not require to manually annotate keypoints and local patches pairwise.

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Authors:
Anan Du
Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu
Submitted On:
16 September 2019 - 9:58pm
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[1] Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu, "KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4648. Accessed: Oct. 14, 2019.
@article{4648-19,
url = {http://sigport.org/4648},
author = {Xiaoshui Huang; Jian Zhang; Lingxiang Yao; Qiang Wu },
publisher = {IEEE SigPort},
title = {KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION},
year = {2019} }
TY - EJOUR
T1 - KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION
AU - Xiaoshui Huang; Jian Zhang; Lingxiang Yao; Qiang Wu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4648
ER -
Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu. (2019). KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION. IEEE SigPort. http://sigport.org/4648
Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu, 2019. KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION. Available at: http://sigport.org/4648.
Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu. (2019). "KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION." Web.
1. Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu. KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4648

MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION

Tong Wei
huiping huang
I-Bin Liao

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Authors:
Tong Wei
huiping huang
I-Bin Liao
Tong Wei, Huiping Huang, Bin Liao
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8 May 2019 - 3:22am
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ICASSP2019_TongWei.pdf

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[1] Tong Wei, Huiping Huang, Bin Liao, "MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4034. Accessed: Oct. 14, 2019.
@article{4034-19,
url = {http://sigport.org/4034},
author = {Tong Wei; Huiping Huang; Bin Liao },
publisher = {IEEE SigPort},
title = {MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION},
year = {2019} }
TY - EJOUR
T1 - MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION
AU - Tong Wei; Huiping Huang; Bin Liao
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4034
ER -
Tong Wei, Huiping Huang, Bin Liao. (2019). MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION. IEEE SigPort. http://sigport.org/4034
Tong Wei, Huiping Huang, Bin Liao, 2019. MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION. Available at: http://sigport.org/4034.
Tong Wei, Huiping Huang, Bin Liao. (2019). "MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION." Web.
1. Tong Wei, Huiping Huang, Bin Liao. MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4034

TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS

yanbin zou

This paper investigates time-of-arrival (TOA) source node self-positioning with unknown clock skews in wireless sensor networks. For the source-to-anchor direction, source node clock skew does not affect the localization performance. When synchronized anchor nodes simultaneously transmit signals to a source node,the source node clock skew will degrade the localization performance.

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Authors:
yanbin zou
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7 May 2019 - 9:56pm
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[1] , "TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3988. Accessed: Oct. 14, 2019.
@article{3988-19,
url = {http://sigport.org/3988},
author = { },
publisher = {IEEE SigPort},
title = {TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS},
year = {2019} }
TY - EJOUR
T1 - TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3988
ER -
. (2019). TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS. IEEE SigPort. http://sigport.org/3988
, 2019. TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS. Available at: http://sigport.org/3988.
. (2019). "TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS." Web.
1. . TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3988

Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking

Stefano Savazzi

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Authors:
Stefano Savazzi
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa
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7 May 2019 - 1:01pm
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Poster in pdf format

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[1] Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa, "Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3924. Accessed: Oct. 14, 2019.
@article{3924-19,
url = {http://sigport.org/3924},
author = {Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Alberto Minora; Leonardo Costa },
publisher = {IEEE SigPort},
title = {Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking},
year = {2019} }
TY - EJOUR
T1 - Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking
AU - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Alberto Minora; Leonardo Costa
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3924
ER -
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa. (2019). Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking. IEEE SigPort. http://sigport.org/3924
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa, 2019. Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking. Available at: http://sigport.org/3924.
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa. (2019). "Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking." Web.
1. Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Alberto Minora, Leonardo Costa. Occupancy pattern recognition with infrared array sensors: A Bayesian approach to multi-body tracking [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3924

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.

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Authors:
Jiawei Liu
Mohammad Saquib
Submitted On:
2 December 2018 - 6:45pm
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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: Oct. 14, 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

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Authors:
Douglas Schuyler
Ben A. Johnson, Douglas A. Schuyler
Submitted On:
21 November 2018 - 5:28pm
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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: Oct. 14, 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.

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Authors:
Jeffrey Poston
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: Oct. 14, 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.

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Authors:
Byeongho Jo
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: Oct. 14, 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

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Authors:
MA YAHUI
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: Oct. 14, 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.

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Authors:
Sarod Yatawatta
Submitted On:
17 July 2018 - 6:22am
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[1] , "Performance analysis of distributed radio interferometric calibration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3358. Accessed: Oct. 14, 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

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