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Sensor Array Processing

Reconstruction of Euclidean Embeddings in Dense Networks


We consider the problem of determining the Euclidean embedding of a dense, planar sensor network. The sensors are equipped with a binary sensing protocol that enables them to detect the neighboring sensors within a fixed radius, R. Using only this connectivity graph, we reconstruct an approximate embedding of the network on an Euclidean plane. To that end, we design an algorithm to identify special landmark nodes in the network whose Euclidean embedding is ``close'' to the vertices of an ideal hexagonal lattice.

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Authors:
Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist
Submitted On:
8 December 2016 - 11:58pm
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Poster outlining algorithm and results

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[1] Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist, "Reconstruction of Euclidean Embeddings in Dense Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1429. Accessed: Oct. 23, 2017.
@article{1429-16,
url = {http://sigport.org/1429},
author = {Sarah Costrell; Subhrajit Bhattacharya; Robert Ghrist },
publisher = {IEEE SigPort},
title = {Reconstruction of Euclidean Embeddings in Dense Networks},
year = {2016} }
TY - EJOUR
T1 - Reconstruction of Euclidean Embeddings in Dense Networks
AU - Sarah Costrell; Subhrajit Bhattacharya; Robert Ghrist
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1429
ER -
Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist. (2016). Reconstruction of Euclidean Embeddings in Dense Networks. IEEE SigPort. http://sigport.org/1429
Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist, 2016. Reconstruction of Euclidean Embeddings in Dense Networks. Available at: http://sigport.org/1429.
Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist. (2016). "Reconstruction of Euclidean Embeddings in Dense Networks." Web.
1. Sarah Costrell, Subhrajit Bhattacharya, Robert Ghrist. Reconstruction of Euclidean Embeddings in Dense Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1429

Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision


This work investigates the parameter estimation performance of super-resolution line spectral estimation using atomic norm minimization. The focus is on analyzing the algorithm's accuracy of inferring the frequencies and complex magnitudes from noisy observations. When the Signal-to-Noise Ratio is reasonably high and the true frequencies are separated by $O(\frac{1}{n})$, the atomic norm estimator is shown to localize the correct number of frequencies, each within a neighborhood of size $O(\sqrt{\frac{\log n}{n^3}} \sigma)$ of one of the true frequencies.

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10 December 2016 - 3:38pm
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Slides_GlobalSIP.pdf

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[1] , "Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1382. Accessed: Oct. 23, 2017.
@article{1382-16,
url = {http://sigport.org/1382},
author = { },
publisher = {IEEE SigPort},
title = {Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision},
year = {2016} }
TY - EJOUR
T1 - Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1382
ER -
. (2016). Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision. IEEE SigPort. http://sigport.org/1382
, 2016. Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision. Available at: http://sigport.org/1382.
. (2016). "Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision." Web.
1. . Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1382

ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS

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Authors:
Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil
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16 November 2016 - 9:34am
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poster.pdf

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[1] Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil, "ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1266. Accessed: Oct. 23, 2017.
@article{1266-16,
url = {http://sigport.org/1266},
author = {Francois Vincent; Olivier Besson; Souleymane Abakar-Issakhay; Frantz Bodereau; Laurent Ferro-Famil },
publisher = {IEEE SigPort},
title = {ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS},
year = {2016} }
TY - EJOUR
T1 - ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS
AU - Francois Vincent; Olivier Besson; Souleymane Abakar-Issakhay; Frantz Bodereau; Laurent Ferro-Famil
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1266
ER -
Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil. (2016). ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS. IEEE SigPort. http://sigport.org/1266
Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil, 2016. ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS. Available at: http://sigport.org/1266.
Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil. (2016). "ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS." Web.
1. Francois Vincent, Olivier Besson, Souleymane Abakar-Issakhay, Frantz Bodereau, Laurent Ferro-Famil. ON THE TRADEOFF BETWEEN RESOLUTION AND AMBIGUITIES FOR NON-UNIFORM LINEAR ARRAYS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1266

Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays


Construct super nested arrays from nested arrays

In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to uniform linear arrays (ULAs). With $N$ denoting the number of sensors, these sparse arrays offer $O(N^2)$ freedoms for source estimation because their difference coarrays have $O(N^2)$-long ULA segments.

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Authors:
Chun-Lin Liu, P P Vaidyanathan
Submitted On:
26 March 2016 - 8:38pm
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[1] Chun-Lin Liu, P P Vaidyanathan, "Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1053. Accessed: Oct. 23, 2017.
@article{1053-16,
url = {http://sigport.org/1053},
author = {Chun-Lin Liu; P P Vaidyanathan },
publisher = {IEEE SigPort},
title = {Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays},
year = {2016} }
TY - EJOUR
T1 - Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays
AU - Chun-Lin Liu; P P Vaidyanathan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1053
ER -
Chun-Lin Liu, P P Vaidyanathan. (2016). Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays. IEEE SigPort. http://sigport.org/1053
Chun-Lin Liu, P P Vaidyanathan, 2016. Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays. Available at: http://sigport.org/1053.
Chun-Lin Liu, P P Vaidyanathan. (2016). "Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays." Web.
1. Chun-Lin Liu, P P Vaidyanathan. Super Nested Arrays: Sparse Arrays with Less Mutual Coupling Than Nested Arrays [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1053

A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION


Convolutive Blind Source Separation

we present a new Time-Frequency approach
for recovering sources’ contribution to two convolutive
mixtures. The separation task is performed on two steps:
Each mixture is clustered into Voiced/Unvoiced frames, and
then the predominant source in each time frequency bin is
identified through a specific weight function which is based
on sources’ excitation characteristics extraction. We investigate
the performance of the proposed approach in the underdetermined
context using objective quality measures.

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Authors:
mariem bouafif, zied lachiri
Submitted On:
21 March 2016 - 5:45am
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poster_icassp.pdf

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[1] mariem bouafif, zied lachiri, "A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/917. Accessed: Oct. 23, 2017.
@article{917-16,
url = {http://sigport.org/917},
author = {mariem bouafif; zied lachiri },
publisher = {IEEE SigPort},
title = {A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION},
year = {2016} }
TY - EJOUR
T1 - A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION
AU - mariem bouafif; zied lachiri
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/917
ER -
mariem bouafif, zied lachiri. (2016). A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION. IEEE SigPort. http://sigport.org/917
mariem bouafif, zied lachiri, 2016. A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION. Available at: http://sigport.org/917.
mariem bouafif, zied lachiri. (2016). "A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION." Web.
1. mariem bouafif, zied lachiri. A NEW TIME-FREQUENCY APPROACH FOR UNDERDETERMINED CONVOLUTIVE BLIND SPEECH SEPARATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/917

A Risk-Unbiased Approach to a New Cramer-Rao Bound


How accurately can one estimate a deterministic parameter subject to other unknown deterministic model parameters? The most popular answer to this question is given by the Cramer-Rao bound (CRB). The main assumption behind the derivation of the CRB is local unbiased estimation of all model parameters. The foundations of this work rely on doubting this assumption. Each parameter in its turn is treated as a single parameter of interest, while the other model parameters are treated as nuisance, as their mis-knowledge interferes with the estimation of the parameter of interest.

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Authors:
Shahar Bar, Joseph Tabrikian
Submitted On:
13 April 2016 - 10:03am
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Presentation.pdf

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[1] Shahar Bar, Joseph Tabrikian, "A Risk-Unbiased Approach to a New Cramer-Rao Bound", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/827. Accessed: Oct. 23, 2017.
@article{827-16,
url = {http://sigport.org/827},
author = {Shahar Bar; Joseph Tabrikian },
publisher = {IEEE SigPort},
title = {A Risk-Unbiased Approach to a New Cramer-Rao Bound},
year = {2016} }
TY - EJOUR
T1 - A Risk-Unbiased Approach to a New Cramer-Rao Bound
AU - Shahar Bar; Joseph Tabrikian
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/827
ER -
Shahar Bar, Joseph Tabrikian. (2016). A Risk-Unbiased Approach to a New Cramer-Rao Bound. IEEE SigPort. http://sigport.org/827
Shahar Bar, Joseph Tabrikian, 2016. A Risk-Unbiased Approach to a New Cramer-Rao Bound. Available at: http://sigport.org/827.
Shahar Bar, Joseph Tabrikian. (2016). "A Risk-Unbiased Approach to a New Cramer-Rao Bound." Web.
1. Shahar Bar, Joseph Tabrikian. A Risk-Unbiased Approach to a New Cramer-Rao Bound [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/827

A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM


This work presents a new array geometry, which is capable of providing $O(M^2N^2)$ degrees of freedom (DOF) using only $MN$ physical sensors via utilizing the second-order statistics of the received data. This new array is composed of multiple, identical minimum redundancy subarrays, whose positions follow a minimum redundancy configuration. Thus the new array is a minimum redundancy array (MRA) of MRA subarrays, and is termed {\em nested MRA}. The sensor positions, aperture length, and the number of DOF of the new array can be predicted if these parameters of MRA subarrays are given.

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Authors:
Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan
Submitted On:
19 March 2016 - 10:53am
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Poster- Minglei Yang - ICASSP2016.pdf

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[1] Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan, "A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/814. Accessed: Oct. 23, 2017.
@article{814-16,
url = {http://sigport.org/814},
author = {Minglei Yang; Alexander M. Haimovich; Baixiao Chen;Xin Yuan },
publisher = {IEEE SigPort},
title = {A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM },
year = {2016} }
TY - EJOUR
T1 - A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM
AU - Minglei Yang; Alexander M. Haimovich; Baixiao Chen;Xin Yuan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/814
ER -
Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan. (2016). A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM . IEEE SigPort. http://sigport.org/814
Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan, 2016. A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM . Available at: http://sigport.org/814.
Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan. (2016). "A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM ." Web.
1. Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan. A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/814

THE SPHERICAL HARMONICS ROOT-MUSIC


Spherical harmonics root-MUSIC (MUltiple SIgnal Classification) technique for source localization using spherical microphone array is presented in this paper. Earlier work on root-MUSIC is limited to linear and planar arrays. Root-MUSIC for planar array utilizes the concept of manifold separation and beamspace transformation. In this paper, the Vandermonde structure of array manifold for a particular order is proved. Hence, the validity of root-MUSIC in the spherical harmonics domain is confirmed. The proposed method is evaluated by using simulated experiments on source localization.

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Authors:
Lalan Kumar, Guoan Bi, Rajesh M. Hegde
Submitted On:
17 March 2016 - 1:04am
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ICASSP2016_POS1.pdf

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[1] Lalan Kumar, Guoan Bi, Rajesh M. Hegde, "THE SPHERICAL HARMONICS ROOT-MUSIC", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/733. Accessed: Oct. 23, 2017.
@article{733-16,
url = {http://sigport.org/733},
author = {Lalan Kumar; Guoan Bi; Rajesh M. Hegde },
publisher = {IEEE SigPort},
title = {THE SPHERICAL HARMONICS ROOT-MUSIC},
year = {2016} }
TY - EJOUR
T1 - THE SPHERICAL HARMONICS ROOT-MUSIC
AU - Lalan Kumar; Guoan Bi; Rajesh M. Hegde
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/733
ER -
Lalan Kumar, Guoan Bi, Rajesh M. Hegde. (2016). THE SPHERICAL HARMONICS ROOT-MUSIC. IEEE SigPort. http://sigport.org/733
Lalan Kumar, Guoan Bi, Rajesh M. Hegde, 2016. THE SPHERICAL HARMONICS ROOT-MUSIC. Available at: http://sigport.org/733.
Lalan Kumar, Guoan Bi, Rajesh M. Hegde. (2016). "THE SPHERICAL HARMONICS ROOT-MUSIC." Web.
1. Lalan Kumar, Guoan Bi, Rajesh M. Hegde. THE SPHERICAL HARMONICS ROOT-MUSIC [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/733

Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing


Jammer suppression, MIMO radar, Space-time adaptive processing

We address the problem of terrain-scattered jammer suppression in multiple-input multiple-output (MIMO) radar using space-(fast) time adaptive processing (SFTAP). The correlation function of jamming components after matched filtering at the receiving end of MIMO radar is derived, and its relationship to the correlation matrix of the transmitted waveforms is established. This correlation function serves as a theoretical measure of evaluating the matched filtering effect on the received jamming signals.

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Authors:
Yongzhe Li, Sergiy A. Vorobyov, Zishu He
Submitted On:
17 March 2016 - 12:39am
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JammerSupp_Yongzhe.pdf

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[1] Yongzhe Li, Sergiy A. Vorobyov, Zishu He, "Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/732. Accessed: Oct. 23, 2017.
@article{732-16,
url = {http://sigport.org/732},
author = {Yongzhe Li; Sergiy A. Vorobyov; Zishu He },
publisher = {IEEE SigPort},
title = {Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing},
year = {2016} }
TY - EJOUR
T1 - Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing
AU - Yongzhe Li; Sergiy A. Vorobyov; Zishu He
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/732
ER -
Yongzhe Li, Sergiy A. Vorobyov, Zishu He. (2016). Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing. IEEE SigPort. http://sigport.org/732
Yongzhe Li, Sergiy A. Vorobyov, Zishu He, 2016. Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing. Available at: http://sigport.org/732.
Yongzhe Li, Sergiy A. Vorobyov, Zishu He. (2016). "Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing." Web.
1. Yongzhe Li, Sergiy A. Vorobyov, Zishu He. Terrain-Scattered Jammer Suppression in MIMO Radar Using Space-(Fast) Time Adaptive Processing [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/732

Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors

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Authors:
Gregory W. Wornell, Yuval Kochman
Submitted On:
16 March 2016 - 11:08am
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ICASSP_poster.pdf

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[1] Gregory W. Wornell, Yuval Kochman, "Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/720. Accessed: Oct. 23, 2017.
@article{720-16,
url = {http://sigport.org/720},
author = {Gregory W. Wornell; Yuval Kochman },
publisher = {IEEE SigPort},
title = {Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors},
year = {2016} }
TY - EJOUR
T1 - Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors
AU - Gregory W. Wornell; Yuval Kochman
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/720
ER -
Gregory W. Wornell, Yuval Kochman. (2016). Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors. IEEE SigPort. http://sigport.org/720
Gregory W. Wornell, Yuval Kochman, 2016. Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors. Available at: http://sigport.org/720.
Gregory W. Wornell, Yuval Kochman. (2016). "Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors." Web.
1. Gregory W. Wornell, Yuval Kochman. Direction of Arrival Estimation in MIMO Radar Systems With Nonlinear Reflectors [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/720

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