Top

Published in:

2023 | OriginalPaper | Chapter

Comparison of the Effectiveness of the MUSIC and ESPRIT Superresolution Algorithms

Authors : Timur Tagaev, Aleksandr Ermakov, Danil Mokhort, Nikolay Malisov

Published in: Proceedings of 10th International Conference on Recent Advances in Civil Aviation

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In radar, it is of great importance to distinguish targets separated by a small angular distance, for example, two close-flying aircraft located at a great distance from the radar station or distinguishing a low-flying target and its antipode, arising due to signal reflection from the underlying surface. This article compares the efficiency of the MUSIC and ESPRIT superresolution algorithms for the problem of distinguishing two targets separated by a small angular distance. According to the simulation results, the ESPRIT algorithm is faster than MUSIC for the same antenna array and signal parameters, ESPRIT has a smaller RMS deviation for the same parameters, which suggests that the ESPRIT superresolution algorithm is more efficient.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Analysis of the Accelerometer Signal for Gait Asymmetry Detection

next chapter Development of a Multifactorial Flight Safety Level Assessment Methodology in the Russian Federation Civil Aviation

Erdyneev ZT, Manokhin GO, Velikanova EP et al (2015) An formation algorithm of the synthetic aperture in an automotive radar with use of the MUSIC algorithm. In: Progress in Electromagnetics Research Symposium, pp 1834–1838

Lagovsky BA (2017) Superresolution in signal processing using smart antenna. In: Progress in Electromagnetics Research Symposium, St. Petersburg, https://doi.org/10.1109/PIERS.2017.8261787

Manokhin GO, Erdyneev ZT, Geltser AA, Monastyrev EA (2015) MUSIC-based algorithm for range-azimuth FMCW radar data processing without estimating number of targets. Mediterranean Microwave Symposium. https://doi.org/10.1109/MMS.2015.7375471CrossRef

Liao W, Fannjiang A (2016) MUSIC for single-snapshot spectral estimation: Stability and super-resolution. Appl Comput Harmon Anal 40(1):33–67MathSciNetCrossRef

Roy R, Kailath T (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans Acoust Speech Signal Process 37(7):984–995CrossRef

Vikas's B, Vakula's D (2017) Performance comparision of MUSIC and ESPRIT algorithms in presence of coherent signals for DoA estimation. In: International Conference of Electronics, Communication and Aerospace Technology (ICECA). https://doi.org/10.1109/ICECA.2017.8212844

Apostolov P (2011) Linear equidistant antenna array with improved selectivity. IEEE Trans Antennas Propag. https://doi.org/10.1109/TAP.2011.2163743CrossRef

Al Hadidi M et al (2016) Adaptive regulation of radiated power radio transmitting devices. Contemporary Eng Sci 9(10):473–485. https://doi.org/10.12988/ces.2016.629

Lagovsky B (2017) Superresolution in signal processing using a priori information. Progress in Electromagnetics Research Symposium—Spring (PIERS). https://doi.org/10.1109/PIERS.2017.8261879CrossRef

10.

Haard M (1997) Structured least squares to improve the performance of ESPRIT-type algorithms. IEEE Trans Signal Process 45:792–799CrossRef

11.

Badeau R, Richard G, David B (2005). Fast adaptive ESPRIT algorithm. https://doi.org/10.1109/SSP.2005.1628608CrossRef

12.

Strobach P (1998) Fast recursive subspace adaptive ESPRIT algorithms. IEEE 10(1109/78):709531

13.

Badeau R, Richard G, David B (2005) Fast adaptive ESPRIT algorithm. In: IEEE/SP 13th Workshop on Statistical Signal Processing. https://doi.org/10.1109/SSP.2005.1628608

14.

Lagovsky B, Samokhin A, Shestopalov Y (2021) Angular superresolution based on A Priori information. Radio Sci 56(3). https://doi.org/10.1029/2020RS007100

Title: Comparison of the Effectiveness of the MUSIC and ESPRIT Superresolution Algorithms
Authors: Timur Tagaev
Aleksandr Ermakov
Danil Mokhort
Nikolay Malisov
Publisher: Springer Nature Singapore
Book: Proceedings of 10th International Conference on Recent Advances in Civil Aviation
Print ISBN: 978-981-19-3787-3

Electronic ISBN: 978-981-19-3788-0

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-3788-0_31

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Premium Partner