Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar Systems

Likelihood Estimation ◽

Approximate Maximum Likelihood ◽

Radar Systems ◽

Multiple Input ◽

Input Multiple Output ◽

Novel Methods

<div>In this manuscript, novel methods for the detection of multiple superimposed tones in noise and the estimation of their parameters are derived, and their application to colocated multiple-input multiple-output radar systems is investigated.</div>

Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar Systems

10.36227/techrxiv.15054321.v1 ◽

2021 ◽

Author(s):

Pasquale Di Viesti ◽

ALESSANDRO DAVOLI ◽

Giorgio Guerzoni ◽

Giorgio Matteo Vitetta

Keyword(s):

Maximum Likelihood ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood ◽

Radar Systems ◽

Multiple Input ◽

Input Multiple Output ◽

Novel Methods

<div>In this manuscript, novel methods for the detection of multiple superimposed tones in noise and the estimation of their parameters are derived, and their application to colocated multiple-input multiple-output radar systems is investigated.</div>

Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation

Automatica ◽

10.1016/j.automatica.2012.01.015 ◽

2012 ◽

Vol 48 (4) ◽

pp. 632-637 ◽

Cited By ~ 6

Author(s):

Juan C. Agüero ◽

Cristian R. Rojas ◽

Håkan Hjalmarsson ◽

Graham C. Goodwin

Keyword(s):

Maximum Likelihood ◽

Likelihood Estimation ◽

Multiple Input ◽

Input Multiple Output

Maximum Likelihood Estimation of the Double-Directional Parameters in the Multiple-Input-Multiple-Output Communication System Using the Particle Swarm Optimization

Electromagnetics ◽

10.1080/02726340802235969 ◽

2008 ◽

Vol 28 (6) ◽

pp. 401-410 ◽

Cited By ~ 1

Author(s):

Mohamed A. Taha ◽

Dia I. Abu-Al-Nadi ◽

Taisir H. Ismail

Keyword(s):

Particle Swarm Optimization ◽

Maximum Likelihood ◽

Communication System ◽

Particle Swarm ◽

Likelihood Estimation ◽

Swarm Optimization ◽

Multiple Input ◽

Input Multiple Output

Joint maximum-likelihood estimation of frequency offset and channel coefficients in multiple-input multiple-output orthogonal frequency-division multiplexing systems with timing ambiguity

IET Communications ◽

10.1049/iet-com.2010.0505 ◽

2011 ◽

Vol 5 (14) ◽

pp. 1964-1970 ◽

Cited By ~ 7

Author(s):

S. Salari ◽

M. Heydarzadeh

Keyword(s):

Maximum Likelihood ◽

Orthogonal Frequency Division Multiplexing ◽

Likelihood Estimation ◽

Frequency Division Multiplexing ◽

Frequency Division ◽

Joint Maximum Likelihood Estimation ◽

Multiple Input ◽

Input Multiple Output ◽

Multiplexing Systems

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

Approximate Maximum Likelihood Estimation Using a 3D GNSS Simulator for Positioning in MP/NLOS Conditions

10.33012/2017.15213 ◽

2017 ◽

Cited By ~ 2

Author(s):

Nabil Kbayer ◽

Mohamed Sahmoudi ◽

H�ctor Ortega ◽

C�dric Rouch

Keyword(s):

Maximum Likelihood ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

Two-stage constellation partition algorithm for reduced-complexity multiple-input multiple-output–maximum-likelihood detection systems

IET Communications ◽

10.1049/iet-com.2012.0173 ◽

2012 ◽

Vol 6 (18) ◽

pp. 3350-3357 ◽

Cited By ~ 4

Author(s):

A.I. Sulyman ◽

Y. Al-Zahrani ◽

S. Al-Dosari ◽

V. Tarokh ◽

S. Al-Shebeili ◽

...

Keyword(s):

Maximum Likelihood ◽

Two Stage ◽

Maximum Likelihood Detection ◽

Detection Systems ◽

Multiple Input ◽

Input Multiple Output ◽

Reduced Complexity

Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2012.6178073 ◽

2012 ◽

Vol 48 (2) ◽

pp. 1466-1489 ◽

Cited By ~ 92

Author(s):

Ruixin Niu ◽

Rick S. Blum ◽

Pramod K. Varshney ◽

Andrew L. Drozd

Keyword(s):

Target Localization ◽

Radar Systems ◽

Multiple Input ◽

Input Multiple Output ◽

Localization And Tracking

Approximate maximum likelihood estimation in linear regression

Annals of the Institute of Statistical Mathematics ◽

10.1007/bf00773670 ◽

1993 ◽

Vol 45 (1) ◽

pp. 89-104 ◽

Cited By ~ 1

Author(s):

Michael A. Magdalinos

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

Ground-Based Radar Interferometry: A Bibliographic Review

Remote Sensing ◽

10.3390/rs11091029 ◽

2019 ◽

Vol 11 (9) ◽

pp. 1029 ◽

Cited By ~ 17

Author(s):

Massimiliano Pieraccini ◽

Lapo Miccinesi

Keyword(s):

Single Component ◽

Radar Interferometry ◽

Radar Systems ◽

Multiple Input ◽

Scientific Papers ◽

Input Multiple Output ◽

Number Of Publications ◽

Scientific Topic

Ground-based/terrestrial radar interferometry (GBRI) is a scientific topic of increasing interest in recent years. This article is a bibliographic review, as much complete as possible, of the scientific papers/articles published in the last 20 years, since the pioneering works in the nineties. Some statistics are reported here about the number of publications in the years, popularity of applications, operative modalities, operative bands. The aim of this review is also to identify directions and perspectives. In the opinion of authors, this type of radar systems will move forward faster modulations, wider view angle, MIMO (Multiple Input Multiple Output) systems and radar with capability to detect the vector of displacement and not only a single component.