TY  - JOUR
T1  - High-Resolution Direction Finding on Uniform Linear Arrays: A Comparative Evaluation of MUSIC Algorithm Derivatives
TT  - High-Resolution Direction Finding on Uniform Linear Arrays: A Comparative Evaluation of MUSIC Algorithm Derivatives
AU  - Onat, Emrah
PY  - 2025
DA  - September
Y2  - 2025
DO  - 10.29109/gujsc.1696029
JF  - Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
JO  - GUJS Part C
PB  - Gazi University
WT  - DergiPark
SN  - 2147-9526
SP  - 1122
EP  - 1136
VL  - 13
IS  - 3
LA  - en
AB  - This paper investigates various Multiple Signal Classification (MUSIC) algorithms for Direction of Arrival (DoA) estimation, including 'Traditional MUSIC', 'Root MUSIC', 'Forward/Backward Spatial Smoothing (FBSS) MUSIC', and 'Improved/Modified MUSIC'. The study elaborates on the principles underlying each algorithm and explores the factors influencing the accuracy of DoA estimation, such as the number of array elements, antenna spacing, number of snapshots, Signal-to-Noise Ratio (SNR), and scanning angle resolution. Through extensive MATLAB simulations employing the Monte Carlo method, the performance of these algorithms is evaluated and compared in scenarios involving coherent, non-coherent, and single/dual-source incident signals. The Root Mean Square Error (RMSE) is calculated as a function of the aforementioned parameters to quantify estimation accuracy. Additionally, the computational efficiency of each algorithm is assessed by comparing their execution durations. The results provide valuable insights into the strengths and limitations of each MUSIC variant, offering guidance for their application in practical DoA estimation tasks.
KW  - ASP (Array Signal Processing)
KW  - DoA (Direction
of Arrival)
KW  - MUSIC (Multiple Signal Classification)
KW  - ULA (Uniform
Linear Array)
KW  - Root MUSIC
KW  - Improved/Modified MUSIC
KW  - FBSS (Forward/Backward Spatial Smoothing).
N2  - This paper investigates various Multiple Signal Classification (MUSIC) algorithms for Direction of Arrival (DoA) estimation, including 'Traditional MUSIC', 'Root MUSIC', 'Forward/Backward Spatial Smoothing (FBSS) MUSIC', and 'Improved/Modified MUSIC'. The study elaborates on the principles underlying each algorithm and explores the factors influencing the accuracy of DoA estimation, such as the number of array elements, antenna spacing, number of snapshots, Signal-to-Noise Ratio (SNR), and scanning angle resolution. Through extensive MATLAB simulations employing the Monte Carlo method, the performance of these algorithms is evaluated and compared in scenarios involving coherent, non-coherent, and single/dual-source incident signals. The Root Mean Square Error (RMSE) is calculated as a function of the aforementioned parameters to quantify estimation accuracy. Additionally, the computational efficiency of each algorithm is assessed by comparing their execution durations. The results provide valuable insights into the strengths and limitations of each MUSIC variant, offering guidance for their application in practical DoA estimation tasks.
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UR  - https://doi.org/10.29109/gujsc.1696029
L1  - https://dergipark.org.tr/en/download/article-file/4855314
ER  -