2024, Vol. 5, Issue 2, Part A
Eigen-method-based joint frequency and angle-of-arrival estimation using signal subspace decomposition in two-element compact antenna arrays
Author(s): Oleksandr Kovalenko, Iryna Shevchenko, Mykola Petrenko, Viktor Melnyk and Anastasiya Bondarenko
Abstract: The accurate estimation of joint frequency and angle-of-arrival (AoA) is critical for modern communication systems, particularly in scenarios requiring compact antenna arrays. This study proposes an eigen-method-based approach using signal subspace decomposition for joint frequency and AoA estimation in two-element compact antenna arrays. The primary objective is to enhance estimation accuracy, resolution capability, and computational efficiency under challenging conditions such as low signal-to-noise ratios (SNRs). The method leverages eigenvalue decomposition of covariance matrices to separate signal and noise subspaces, achieving joint parameter estimation through grid search optimization. Simulations were conducted with synthetic datasets containing multiple narrowband signals of varying SNRs and angles of incidence. Experimental validation was performed using a software-defined radio platform to capture real-world signals in the 2.4 GHz ISM band. Performance metrics, including mean squared error (MSE), resolution accuracy, and processing time, were analyzed. The proposed method demonstrated superior performance, achieving an average frequency MSE of 0.00012 GHz² and an AoA MSE of 0.26° in simulations. It also achieved a resolution accuracy of 98.5%, outperforming conventional methods such as MUSIC and ESPRIT, which showed accuracies of 91.3% and 88.6%, respectively. Furthermore, the computational efficiency of the proposed method was highlighted, with an average processing time of 0.43 seconds, significantly lower than the other methods. Statistical analyses, including paired t-tests and ANOVA, confirmed the significance of the improvements. The results validate the proposed method's robustness and effectiveness, making it a viable solution for real-time applications in compact antenna arrays. The findings contribute to advancements in signal processing for radar, wireless communications, and navigation systems, addressing key limitations in current methodologies.
DOI: 10.22271/27084531.2024.v5.i2a.75
Pages: 46-50 | Views: 52 | Downloads: 15
Download Full Article: Click Here
How to cite this article:
Oleksandr Kovalenko, Iryna Shevchenko, Mykola Petrenko, Viktor Melnyk, Anastasiya Bondarenko. Eigen-method-based joint frequency and angle-of-arrival estimation using signal subspace decomposition in two-element compact antenna arrays. Int J Res Circuits Devices Syst 2024;5(2):46-50. DOI: 10.22271/27084531.2024.v5.i2a.75
