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Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements

Abstract: 

Precise measurement and characterization of millimeter wave channels requires antennas capable of high angular resolution to resolve closely spaced multipath sources. To achieve angular resolution on the order of a few degrees these antennas must be electrically large which is impractical for phased array architectures at millimeter wave frequencies. An alternative approach is to synthesize a virtual aperture in space by using an accurate mechanical positioner to move a receive antenna to points along a sampling grid. An advantage of creating virtual apertures is that the received signal is digitized at every spatial sample position which enables the use of sophisticated angle estimation algorithms such as maximum likelihood (ML) techniques. The main contribution of this paper is a new gradient-based implementation of maximum likelihood angle estimation that was demonstrated on virtual array data collected at 28 GHz using a vector network analyzer (VNA).

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Paper Details

Authors:
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley
Submitted On:
23 November 2018 - 5:36pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Peter Vouras
Paper Code:
1277
Document Year:
2018
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Document Files

Vouras_GlobalSIP_2018_Session_MMW_L1_112918_Slides.pdf

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[1] Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley, "Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3759. Accessed: Dec. 13, 2018.
@article{3759-18,
url = {http://sigport.org/3759},
author = {Alec Weiss; Maria Becker; Ben Jamroz; Jeanne Quimby; Dylan Williams; Kate Remley },
publisher = {IEEE SigPort},
title = {Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements},
year = {2018} }
TY - EJOUR
T1 - Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements
AU - Alec Weiss; Maria Becker; Ben Jamroz; Jeanne Quimby; Dylan Williams; Kate Remley
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3759
ER -
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. (2018). Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements. IEEE SigPort. http://sigport.org/3759
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley, 2018. Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements. Available at: http://sigport.org/3759.
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. (2018). "Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements." Web.
1. Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3759