Target Localization Using Approximate Maximum Likelihood for MIMO Radar Systems

2019 ◽  
Author(s):  
Abdulellah Almalki ◽  
Huaping Liu ◽  
Yanbin Zou
Keyword(s):  
Maximum Likelihood ◽  
Mimo Radar ◽  
Target Localization ◽  
Approximate Maximum Likelihood ◽  
Radar Systems

A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems

2019 ◽  
Vol 89 ◽  
pp. 40-48 ◽  
Author(s):  
Paulo R.B. Gomes ◽  
André L.F. de Almeida ◽  
João Paulo C.L. da Costa ◽  
Rafael T. de Sousa
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Bistatic Mimo Radar ◽  
Radar Systems

Target Localization in Asynchronous Distributed MIMO Radar Systems with a Cooperative Target

2021 ◽  
pp. 1-1
Author(s):  
Gongjian Wen ◽  
Haibo Song ◽  
Feng Gao ◽  
Yuanyuan Liang ◽  
Lingxiao Zhu
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Radar Systems

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

2021 ◽  
Author(s):  
Pasquale Di Viesti ◽  
ALESSANDRO DAVOLI ◽  
Giorgio Guerzoni ◽  
Giorgio Matteo Vitetta
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Multiple Input Multiple Output ◽  
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>

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

2021 ◽  
Author(s):  
Pasquale Di Viesti ◽  
ALESSANDRO DAVOLI ◽  
Giorgio Guerzoni ◽  
Giorgio Matteo Vitetta
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Multiple Input Multiple Output ◽  
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>

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