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Adaptive Array Signal Processing

Adaptive Near-Field Imaging with Robotic Arrays


In this paper, we are interested in phased-array
imaging of an unknown area using narrowband RF signals and
arrays synthesized by an unmanned vehicle. Typical phased
array imaging approaches use fixed or pre-determined array
configurations for imaging, which are not usually informative
for the whole area. In this paper, we then propose an iterative
adaptive imaging approach where we identify the uncertain
regions in an initial image that need to be sensed better, find
the optimal array location and orientation for such a sensing

Paper Details

Authors:
Chitra Karanam, Yasamin Mostofi
Submitted On:
9 July 2018 - 5:22pm
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KoranyKaranamMostofi_SAM18.pdf

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[1] Chitra Karanam, Yasamin Mostofi, "Adaptive Near-Field Imaging with Robotic Arrays", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3377. Accessed: Aug. 21, 2018.
@article{3377-18,
url = {http://sigport.org/3377},
author = {Chitra Karanam; Yasamin Mostofi },
publisher = {IEEE SigPort},
title = {Adaptive Near-Field Imaging with Robotic Arrays},
year = {2018} }
TY - EJOUR
T1 - Adaptive Near-Field Imaging with Robotic Arrays
AU - Chitra Karanam; Yasamin Mostofi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3377
ER -
Chitra Karanam, Yasamin Mostofi. (2018). Adaptive Near-Field Imaging with Robotic Arrays. IEEE SigPort. http://sigport.org/3377
Chitra Karanam, Yasamin Mostofi, 2018. Adaptive Near-Field Imaging with Robotic Arrays. Available at: http://sigport.org/3377.
Chitra Karanam, Yasamin Mostofi. (2018). "Adaptive Near-Field Imaging with Robotic Arrays." Web.
1. Chitra Karanam, Yasamin Mostofi. Adaptive Near-Field Imaging with Robotic Arrays [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3377

An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems


To solve the problem of beam selection or capturing the highest possible signal power, we propose a sequential test that can adapt to the SNR operating point and speed up the selection procedure in terms of the number of required observations in comparison to a perfectly tuned fixed length test assuming genie knowledge.

Paper Details

Authors:
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis
Submitted On:
8 July 2018 - 5:07pm
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SAM_presentation_July2018.pdf

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[1] Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis, "An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3373. Accessed: Aug. 21, 2018.
@article{3373-18,
url = {http://sigport.org/3373},
author = {Mostafa Khalili Marandi; Wolfgang Rave; Gerhard Fettweis },
publisher = {IEEE SigPort},
title = {An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems},
year = {2018} }
TY - EJOUR
T1 - An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems
AU - Mostafa Khalili Marandi; Wolfgang Rave; Gerhard Fettweis
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3373
ER -
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. (2018). An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems. IEEE SigPort. http://sigport.org/3373
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis, 2018. An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems. Available at: http://sigport.org/3373.
Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. (2018). "An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems." Web.
1. Mostafa Khalili Marandi, Wolfgang Rave, Gerhard Fettweis. An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3373

An Undersampled Phase Retrieval Algorithm via Gradient Iteration


This work addresses the issue of undersampled phase retrieval using the gradient framework and proximal regularization theorem. It is formulated as an optimization problem in terms of least absolute shrinkage and selection operator (LASSO) form with (ℓ2+ℓ1) norms minimization in the case of sparse incident signals. Then, inspired by the compressive phase retrieval via majorization-minimization technique (C-PRIME) algorithm, a gradient-based PRIME algorithm is proposed to solve a quadratic approximation of the original problem.

Paper Details

Authors:
Wei Liu, Lei Huang
Submitted On:
6 July 2018 - 4:33am
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An Undersampled Phase Retrieval Algorithm via Gradient Iteration(1).pdf

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[1] Wei Liu, Lei Huang, "An Undersampled Phase Retrieval Algorithm via Gradient Iteration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3366. Accessed: Aug. 21, 2018.
@article{3366-18,
url = {http://sigport.org/3366},
author = {Wei Liu; Lei Huang },
publisher = {IEEE SigPort},
title = {An Undersampled Phase Retrieval Algorithm via Gradient Iteration},
year = {2018} }
TY - EJOUR
T1 - An Undersampled Phase Retrieval Algorithm via Gradient Iteration
AU - Wei Liu; Lei Huang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3366
ER -
Wei Liu, Lei Huang. (2018). An Undersampled Phase Retrieval Algorithm via Gradient Iteration. IEEE SigPort. http://sigport.org/3366
Wei Liu, Lei Huang, 2018. An Undersampled Phase Retrieval Algorithm via Gradient Iteration. Available at: http://sigport.org/3366.
Wei Liu, Lei Huang. (2018). "An Undersampled Phase Retrieval Algorithm via Gradient Iteration." Web.
1. Wei Liu, Lei Huang. An Undersampled Phase Retrieval Algorithm via Gradient Iteration [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3366

Online Mutual Coupling Calibration Using a Signal Source at Unknown Location

Paper Details

Authors:
Tong Wei, Bin Liao, Huiping Huang, and Zhi Quan
Submitted On:
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: Aug. 21, 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

MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets

Paper Details

Authors:
Steven Herbert, James Hopgood, Bernie Mulgrew
Submitted On:
23 April 2018 - 4:36am
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SJH_ICASSP_2018.pdf

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[1] Steven Herbert, James Hopgood, Bernie Mulgrew, " MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3147. Accessed: Aug. 21, 2018.
@article{3147-18,
url = {http://sigport.org/3147},
author = {Steven Herbert; James Hopgood; Bernie Mulgrew },
publisher = {IEEE SigPort},
title = { MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets},
year = {2018} }
TY - EJOUR
T1 - MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets
AU - Steven Herbert; James Hopgood; Bernie Mulgrew
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3147
ER -
Steven Herbert, James Hopgood, Bernie Mulgrew. (2018). MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets. IEEE SigPort. http://sigport.org/3147
Steven Herbert, James Hopgood, Bernie Mulgrew, 2018. MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets. Available at: http://sigport.org/3147.
Steven Herbert, James Hopgood, Bernie Mulgrew. (2018). " MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets." Web.
1. Steven Herbert, James Hopgood, Bernie Mulgrew. MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3147

MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER

Paper Details

Authors:
Yang Li, Qian He, Rick Blum
Submitted On:
19 April 2018 - 10:51pm
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MIMO RADAR, DETECTION,TRANSMITTER SELECTION

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[1] Yang Li, Qian He, Rick Blum, "MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3058. Accessed: Aug. 21, 2018.
@article{3058-18,
url = {http://sigport.org/3058},
author = {Yang Li; Qian He; Rick Blum },
publisher = {IEEE SigPort},
title = {MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER},
year = {2018} }
TY - EJOUR
T1 - MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER
AU - Yang Li; Qian He; Rick Blum
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3058
ER -
Yang Li, Qian He, Rick Blum. (2018). MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER. IEEE SigPort. http://sigport.org/3058
Yang Li, Qian He, Rick Blum, 2018. MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER. Available at: http://sigport.org/3058.
Yang Li, Qian He, Rick Blum. (2018). "MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER." Web.
1. Yang Li, Qian He, Rick Blum. MIMO RADAR TARGET DETECTION USING LOW-COMPLEXITY RECEIVER [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3058

Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization

Paper Details

Authors:
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng
Submitted On:
19 April 2018 - 9:11pm
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2067

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[1] Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng, "Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3048. Accessed: Aug. 21, 2018.
@article{3048-18,
url = {http://sigport.org/3048},
author = {Wei Xiong; Maria Greco; Fulvio Gini; Gong Zhang; Zhenni Peng },
publisher = {IEEE SigPort},
title = {Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization},
year = {2018} }
TY - EJOUR
T1 - Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization
AU - Wei Xiong; Maria Greco; Fulvio Gini; Gong Zhang; Zhenni Peng
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3048
ER -
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. (2018). Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization. IEEE SigPort. http://sigport.org/3048
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng, 2018. Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization. Available at: http://sigport.org/3048.
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. (2018). "Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization." Web.
1. Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3048

COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING

Paper Details

Authors:
Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve
Submitted On:
14 April 2018 - 10:40am
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icassp2018_breastImaging.pdf

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[1] Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve, "COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2835. Accessed: Aug. 21, 2018.
@article{2835-18,
url = {http://sigport.org/2835},
author = {Foroohar Foroozan; Nazanin HosseinKhah; Raviraj Adve },
publisher = {IEEE SigPort},
title = {COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING},
year = {2018} }
TY - EJOUR
T1 - COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING
AU - Foroohar Foroozan; Nazanin HosseinKhah; Raviraj Adve
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2835
ER -
Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve. (2018). COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING. IEEE SigPort. http://sigport.org/2835
Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve, 2018. COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING. Available at: http://sigport.org/2835.
Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve. (2018). "COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING." Web.
1. Foroohar Foroozan, Nazanin HosseinKhah, Raviraj Adve. COHERENT TIME REVERSAL SUB-ARRAY PROCESSING FOR MICROWAVE BREAST IMAGING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2835

Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm


In this paper, we design constant modulus probing waveforms with low correlation sidelobes for colocated multi-input multi-output (MIMO) radar. Through exploiting the structure of the problem, we formulate it as a non-convex consensus minimization problem. Then a customized alternating direction method of multipliers (ADMM) algorithm is proposed to solve the problem, which is guaranteed convergent to its stationary point. Numerical examples show that the proposed approach offers better performance than the state-of-the-art approaches.

Paper Details

Authors:
Yongchao Wang, Jiangtao Wang
Submitted On:
13 April 2018 - 11:30pm
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ICASSP_2018_Poster.pdf

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[1] Yongchao Wang, Jiangtao Wang, "Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2788. Accessed: Aug. 21, 2018.
@article{2788-18,
url = {http://sigport.org/2788},
author = {Yongchao Wang; Jiangtao Wang },
publisher = {IEEE SigPort},
title = {Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm},
year = {2018} }
TY - EJOUR
T1 - Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm
AU - Yongchao Wang; Jiangtao Wang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2788
ER -
Yongchao Wang, Jiangtao Wang. (2018). Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm. IEEE SigPort. http://sigport.org/2788
Yongchao Wang, Jiangtao Wang, 2018. Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm. Available at: http://sigport.org/2788.
Yongchao Wang, Jiangtao Wang. (2018). "Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm." Web.
1. Yongchao Wang, Jiangtao Wang. Constant Modulus Probing Waveform Design for MIMO Radar via ADMM Algorithm [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2788

Spatial Array Thinning for Interference Cancellation under Connectivity Constraints


Array spatial thinning is employed to select the most effective antenna elements in a large phased array for optimum performance concerning hardware and computational costs, in conjunction with managing element failure and radio interference mitigation. We formulate spatial array thinning under connectivity constraints to make the thinning applicable in large arrays. By introducing graph optimization, the problem is recast as a k-clique version of a generalized minimum clique problem.

Paper Details

Authors:
Hamed Nosrati, Elias Aboutanios, David B. Smith
Submitted On:
12 April 2018 - 10:26pm
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ICASSP2018_A0.pdf

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[1] Hamed Nosrati, Elias Aboutanios, David B. Smith, "Spatial Array Thinning for Interference Cancellation under Connectivity Constraints", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2558. Accessed: Aug. 21, 2018.
@article{2558-18,
url = {http://sigport.org/2558},
author = {Hamed Nosrati; Elias Aboutanios; David B. Smith },
publisher = {IEEE SigPort},
title = {Spatial Array Thinning for Interference Cancellation under Connectivity Constraints},
year = {2018} }
TY - EJOUR
T1 - Spatial Array Thinning for Interference Cancellation under Connectivity Constraints
AU - Hamed Nosrati; Elias Aboutanios; David B. Smith
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2558
ER -
Hamed Nosrati, Elias Aboutanios, David B. Smith. (2018). Spatial Array Thinning for Interference Cancellation under Connectivity Constraints. IEEE SigPort. http://sigport.org/2558
Hamed Nosrati, Elias Aboutanios, David B. Smith, 2018. Spatial Array Thinning for Interference Cancellation under Connectivity Constraints. Available at: http://sigport.org/2558.
Hamed Nosrati, Elias Aboutanios, David B. Smith. (2018). "Spatial Array Thinning for Interference Cancellation under Connectivity Constraints." Web.
1. Hamed Nosrati, Elias Aboutanios, David B. Smith. Spatial Array Thinning for Interference Cancellation under Connectivity Constraints [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2558

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