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Sensor Array Processing

DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS

Aditya Sant

Accurate and efficient methods for Direction of Arrival (DOA) estimation play an important role in mmWave channel estimation methods. This estimation procedure can potentially be affected by the different RF and analog components in the communication system. Such components add an unknown, nonlinear distortion to the received signal. This work looks at addressing this problem of DOA estimation for a general case of a nonlinear distortion of the received signal. Two different scenarios for angle recovery are considered here: with the use of pilot symbols and without the use of pilots.

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Authors:
Aditya Sant
Submitted On:
5 June 2020 - 9:20pm
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[1] , "DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5456. Accessed: Jul. 09, 2020.
@article{5456-20,
url = {http://sigport.org/5456},
author = { },
publisher = {IEEE SigPort},
title = {DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS},
year = {2020} }
TY - EJOUR
T1 - DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5456
ER -
. (2020). DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS. IEEE SigPort. http://sigport.org/5456
, 2020. DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS. Available at: http://sigport.org/5456.
. (2020). "DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS." Web.
1. . DOA ESTIMATION IN SYSTEMS WITH NONLINEARITIES FOR MMWAVE COMMUNICATIONS [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5456

TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE

Richard Kozick
Brian Sadler

Arrays of closely-spaced antennas with mutual coupling have been considered recently with analogies to the hearing mechanism in small insects that exhibit excellent direction finding capabilities. We develop a model for a two-element array system that includes three distinct noise sources and a 4-port electrical network that couples the antennas to the measurement loads. The optimum coupling network that minimizes the Cramer-Rao bound (CRB) for angle of arrival (AOA) estimation is derived and a design method is presented to synthesize the network.

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Authors:
Richard Kozick
Brian Sadler
Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler
Submitted On:
14 May 2020 - 12:24am
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[1] Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler, "TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5219. Accessed: Jul. 09, 2020.
@article{5219-20,
url = {http://sigport.org/5219},
author = {Richard J. Kozick; Fikadu T. Dagefu; Brian M. Sadler },
publisher = {IEEE SigPort},
title = {TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE},
year = {2020} }
TY - EJOUR
T1 - TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE
AU - Richard J. Kozick; Fikadu T. Dagefu; Brian M. Sadler
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5219
ER -
Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler. (2020). TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE. IEEE SigPort. http://sigport.org/5219
Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler, 2020. TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE. Available at: http://sigport.org/5219.
Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler. (2020). "TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE." Web.
1. Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler. TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5219

Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar

Yuxuan Xia

Motivated by real-world automotive radar measurements that are distributed around object (e.g., vehicles) edges with a certain volume, a novel hierarchical truncated Gaussian measurement model is proposed to resemble the underlying spatial distribution of radar measurements. With the proposed measurement model, a modified random matrix-based extended object tracking algorithm is developed to estimate both kinematic and extent states. In particular, a new state update step and an online bound estimation step are proposed with the introduction of pseudo measurements.

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Authors:
Yuxuan Xia
Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik
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13 May 2020 - 9:42pm
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[1] Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik, "Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5182. Accessed: Jul. 09, 2020.
@article{5182-20,
url = {http://sigport.org/5182},
author = {Pu (Perry) Wang; Karl Berntorp; Toshiaki Koike-Akino; Hassan Mansour; Milutin Pajovic; Petros Boufounos; Philip Orlik },
publisher = {IEEE SigPort},
title = {Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar},
year = {2020} }
TY - EJOUR
T1 - Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar
AU - Pu (Perry) Wang; Karl Berntorp; Toshiaki Koike-Akino; Hassan Mansour; Milutin Pajovic; Petros Boufounos; Philip Orlik
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5182
ER -
Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik. (2020). Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar. IEEE SigPort. http://sigport.org/5182
Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik, 2020. Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar. Available at: http://sigport.org/5182.
Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik. (2020). "Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar." Web.
1. Pu (Perry) Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip Orlik. Extended Object Tracking using Hierarchical Truncation Measurement Model with Automotive Radar [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5182

Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity

Gary Lee

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Authors:
Gary Lee
Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell
Submitted On:
12 November 2019 - 1:10pm
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[1] Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell, "Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4936. Accessed: Jul. 09, 2020.
@article{4936-19,
url = {http://sigport.org/4936},
author = {Gary C.F. Lee; Ankit S. Rawat; Gregory W. Wornell },
publisher = {IEEE SigPort},
title = {Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity},
year = {2019} }
TY - EJOUR
T1 - Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity
AU - Gary C.F. Lee; Ankit S. Rawat; Gregory W. Wornell
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4936
ER -
Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell. (2019). Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity. IEEE SigPort. http://sigport.org/4936
Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell, 2019. Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity. Available at: http://sigport.org/4936.
Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell. (2019). "Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity." Web.
1. Gary C.F. Lee, Ankit S. Rawat, Gregory W. Wornell. Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4936

Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions

Mohammad Hossein Moghaddam

In this paper, we statistically analyze the effect
of hardware impairments on power pattern of antenna array
systems. We consider a linear array and formulate the stochastic
beam pattern as a function of variations in phase, gain and
element positions. By deriving a closed-form expression for the
variance of the power pattern, we express how the performance
of antenna array can be degraded in each angle, allowing for
investigation of the role of each parameter in the final power

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Authors:
Mohammad Hossein Moghaddam
Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson
Submitted On:
8 November 2019 - 10:40am
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[1] Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson, "Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4925. Accessed: Jul. 09, 2020.
@article{4925-19,
url = {http://sigport.org/4925},
author = {Mohammad Hossein Moghaddam; Sina Rezaei Aghdam; Thomas Eriksson },
publisher = {IEEE SigPort},
title = {Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions},
year = {2019} }
TY - EJOUR
T1 - Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions
AU - Mohammad Hossein Moghaddam; Sina Rezaei Aghdam; Thomas Eriksson
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4925
ER -
Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson. (2019). Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions. IEEE SigPort. http://sigport.org/4925
Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson, 2019. Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions. Available at: http://sigport.org/4925.
Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson. (2019). "Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions." Web.
1. Mohammad Hossein Moghaddam, Sina Rezaei Aghdam, Thomas Eriksson. Statistical Analysis of Antenna Array Systems with Perturbations in Phase, Gain and Element Positions [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4925

Sample Space-Time Covariance Estimation

Connor Delaosa

Estimation errors are incurred when calculating the sample space-time covariance matrix. We formulate the variance of this estimator when operating on a finite sample set, compare it to known results, and demonstrate its precision in simulations. The variance of the estimation links directly to previously explored perturbation of the analytic eigenvalues and eigenspaces of a parahermitian cross-spectral density matrix when estimated from finite data.

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Authors:
Connor Delaosa
Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss
Submitted On:
15 May 2019 - 4:53pm
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[1] Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss, "Sample Space-Time Covariance Estimation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4531. Accessed: Jul. 09, 2020.
@article{4531-19,
url = {http://sigport.org/4531},
author = {Connor Delaosa; Jennifer Pestana; Nicholas J. Goddard; Sam Somasundaram; Stephan Weiss },
publisher = {IEEE SigPort},
title = {Sample Space-Time Covariance Estimation},
year = {2019} }
TY - EJOUR
T1 - Sample Space-Time Covariance Estimation
AU - Connor Delaosa; Jennifer Pestana; Nicholas J. Goddard; Sam Somasundaram; Stephan Weiss
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4531
ER -
Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss. (2019). Sample Space-Time Covariance Estimation. IEEE SigPort. http://sigport.org/4531
Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss, 2019. Sample Space-Time Covariance Estimation. Available at: http://sigport.org/4531.
Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss. (2019). "Sample Space-Time Covariance Estimation." Web.
1. Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Sam Somasundaram, Stephan Weiss. Sample Space-Time Covariance Estimation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4531

Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot

Anupama Govinda Raj

We address the problem of search-free DOA estimation from a single noisy snapshot for sensor arrays of arbitrary geometry, by extending a method of gridless super-resolution beam-forming to arbitrary arrays with noisy measurements. The primal atomic norm minimization problem is converted to a dual problem in which the periodic dual function is represented with a trigonometric polynomial using truncated Fourier series. The number of terms required for accurate representation depends linearly on the distance of the farthest sensor from a reference.

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Authors:
Anupama Govinda Raj
Anupama Govinda Raj, James H. McClellan*
Submitted On:
10 May 2019 - 6:07pm
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[1] Anupama Govinda Raj, James H. McClellan*, "Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4414. Accessed: Jul. 09, 2020.
@article{4414-19,
url = {http://sigport.org/4414},
author = {Anupama Govinda Raj; James H. McClellan* },
publisher = {IEEE SigPort},
title = {Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot},
year = {2019} }
TY - EJOUR
T1 - Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot
AU - Anupama Govinda Raj; James H. McClellan*
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4414
ER -
Anupama Govinda Raj, James H. McClellan*. (2019). Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot. IEEE SigPort. http://sigport.org/4414
Anupama Govinda Raj, James H. McClellan*, 2019. Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot. Available at: http://sigport.org/4414.
Anupama Govinda Raj, James H. McClellan*. (2019). "Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot." Web.
1. Anupama Govinda Raj, James H. McClellan*. Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4414

3D Coprime Arrays in Sparse Sensing

Conghui Li

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Authors:
Conghui Li
Conghui Li, Lu Gan, Cong Ling
Submitted On:
9 May 2019 - 6:08am
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[1] Conghui Li, Lu Gan, Cong Ling, "3D Coprime Arrays in Sparse Sensing", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4181. Accessed: Jul. 09, 2020.
@article{4181-19,
url = {http://sigport.org/4181},
author = {Conghui Li; Lu Gan; Cong Ling },
publisher = {IEEE SigPort},
title = {3D Coprime Arrays in Sparse Sensing},
year = {2019} }
TY - EJOUR
T1 - 3D Coprime Arrays in Sparse Sensing
AU - Conghui Li; Lu Gan; Cong Ling
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4181
ER -
Conghui Li, Lu Gan, Cong Ling. (2019). 3D Coprime Arrays in Sparse Sensing. IEEE SigPort. http://sigport.org/4181
Conghui Li, Lu Gan, Cong Ling, 2019. 3D Coprime Arrays in Sparse Sensing. Available at: http://sigport.org/4181.
Conghui Li, Lu Gan, Cong Ling. (2019). "3D Coprime Arrays in Sparse Sensing." Web.
1. Conghui Li, Lu Gan, Cong Ling. 3D Coprime Arrays in Sparse Sensing [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4181

Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring

Patrick Wijnings

Poster for "Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring".
https://ieeexplore.ieee.org/document/8682835

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Authors:
Patrick Wijnings
Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal
Submitted On:
8 May 2019 - 10:14am
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[1] Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal, "Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4115. Accessed: Jul. 09, 2020.
@article{4115-19,
url = {http://sigport.org/4115},
author = {Patrick W.A. Wijnings; Sander Stuijk; Bert de Vries; Henk Corporaal },
publisher = {IEEE SigPort},
title = {Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring},
year = {2019} }
TY - EJOUR
T1 - Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring
AU - Patrick W.A. Wijnings; Sander Stuijk; Bert de Vries; Henk Corporaal
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4115
ER -
Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal. (2019). Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring. IEEE SigPort. http://sigport.org/4115
Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal, 2019. Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring. Available at: http://sigport.org/4115.
Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal. (2019). "Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring." Web.
1. Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal. Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4115

AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS

Markus Rupp

We present a novel localization method based on directional beams,
as available in novel massive MIMO transmission techniques instead
of radius information, and derive a least squares (LS) estimation
method. The new method is a direct LS method that can be solved by
a linear set of equations rather than an iterative method required for
radius information. In a further step, we also show how to transform
radius information into virtual beams to apply the proposed method.
Finally, we evaluate the accuracy of the new methods by simulations.

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Authors:
Markus Rupp
Markus Rupp, Stefan Schwarz
Submitted On:
8 May 2019 - 5:31am
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[1] Markus Rupp, Stefan Schwarz, "AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4057. Accessed: Jul. 09, 2020.
@article{4057-19,
url = {http://sigport.org/4057},
author = {Markus Rupp; Stefan Schwarz },
publisher = {IEEE SigPort},
title = {AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS},
year = {2019} }
TY - EJOUR
T1 - AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS
AU - Markus Rupp; Stefan Schwarz
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4057
ER -
Markus Rupp, Stefan Schwarz. (2019). AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS. IEEE SigPort. http://sigport.org/4057
Markus Rupp, Stefan Schwarz, 2019. AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS. Available at: http://sigport.org/4057.
Markus Rupp, Stefan Schwarz. (2019). "AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS." Web.
1. Markus Rupp, Stefan Schwarz. AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4057

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