Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection

Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection

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In this paper, we first simulate ML, MUSIC, Root-MUSIC algorithms and space smoothing in noisy and fiddling environments, and then these algorithms are compared in terms of estimating the accuracy of the angles received from the two sources. By presenting the simulation results of four algorithms in...

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Bibliographic Details
Main Authors: S. Shirvani Moghadam, M. Jalali, H. Aminollahi
Format: Article
Language:fas
Published: Shahid Rajaee Teacher Training University (SRTTU) 2007-06-01
Series:Fanāvarī-i āmūzish
Subjects:
spatial smoothing
doa
ml
music
root-music
Online Access:http://jte.sru.ac.ir/article_1269_4b5964815364672c6bf458c7d16e7232.pdf
id doaj-e05e692c64274905860404ad27938813
record_format Article
spelling doaj-e05e692c64274905860404ad279388132020-11-25T03:48:00ZfasShahid Rajaee Teacher Training University (SRTTU)Fanāvarī-i āmūzish2008-04412345-54622007-06-01142372441269Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detectionS. Shirvani Moghadam0M. Jalali1H. Aminollahi2Faculty of Electrical Engineering - Shahid Rajaei Teacher Training University of Tehran,IranDepartment of Electrical Engineering, Faculty of Postgraduate Studies, Islamic Azad University, South Tehran Branch, IranAssistant Professor, Department of Electrical Engineering, Faculty of Islamic Azad University, South Tehran Branch, IranIn this paper, we first simulate ML, MUSIC, Root-MUSIC algorithms and space smoothing in noisy and fiddling environments, and then these algorithms are compared in terms of estimating the accuracy of the angles received from the two sources. By presenting the simulation results of four algorithms in the form of tables that are based on mean, deviation from mean, variance of estimated angles and the percentage of successful experiments, it is observed that Root-MUSIC and MUSIC algorithms in terms of estimation and Detecting close angles is more accurate. In these two methods, the angles close to each other, up to about one degree, can be detected and separated. In addition, simulation results show that spatial smoothing algorithm is the most effective way to identify coherent resources.http://jte.sru.ac.ir/article_1269_4b5964815364672c6bf458c7d16e7232.pdfspatial smoothingdoamlmusicroot-music
collection DOAJ
language fas
format Article
sources DOAJ
author S. Shirvani Moghadam
M. Jalali
H. Aminollahi
spellingShingle S. Shirvani Moghadam
M. Jalali
H. Aminollahi
Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
Fanāvarī-i āmūzish
spatial smoothing
doa
ml
music
root-music
author_facet S. Shirvani Moghadam
M. Jalali
H. Aminollahi
author_sort S. Shirvani Moghadam
title Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
title_short Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
title_full Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
title_fullStr Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
title_full_unstemmed Investigate and measure the angular accuracy of ML, MUSIC, Root-MUSIC algorithms and spatial smoothing in signal detection
title_sort investigate and measure the angular accuracy of ml, music, root-music algorithms and spatial smoothing in signal detection
publisher Shahid Rajaee Teacher Training University (SRTTU)
series Fanāvarī-i āmūzish
issn 2008-0441
2345-5462
publishDate 2007-06-01
description In this paper, we first simulate ML, MUSIC, Root-MUSIC algorithms and space smoothing in noisy and fiddling environments, and then these algorithms are compared in terms of estimating the accuracy of the angles received from the two sources. By presenting the simulation results of four algorithms in the form of tables that are based on mean, deviation from mean, variance of estimated angles and the percentage of successful experiments, it is observed that Root-MUSIC and MUSIC algorithms in terms of estimation and Detecting close angles is more accurate. In these two methods, the angles close to each other, up to about one degree, can be detected and separated. In addition, simulation results show that spatial smoothing algorithm is the most effective way to identify coherent resources.
topic spatial smoothing
doa
ml
music
root-music
url http://jte.sru.ac.ir/article_1269_4b5964815364672c6bf458c7d16e7232.pdf
work_keys_str_mv AT sshirvanimoghadam investigateandmeasuretheangularaccuracyofmlmusicrootmusicalgorithmsandspatialsmoothinginsignaldetection
AT mjalali investigateandmeasuretheangularaccuracyofmlmusicrootmusicalgorithmsandspatialsmoothinginsignaldetection
AT haminollahi investigateandmeasuretheangularaccuracyofmlmusicrootmusicalgorithmsandspatialsmoothinginsignaldetection
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