Ahmad AminuMustafa SecmenAminu, AhmadSecmen, MustafaM MahamatSA AdeshinaT Arreytambe2025-10-062014978-1-4799-4106-3978147994106310.1109/ICECCO.2014.69975662-s2.0-84921717391https://gcris.yasar.edu.tr/handle/123456789/6201https://doi.org/10.1109/ICECCO.2014.6997566In this study we consider the challenge of estimation of fading coefficients for uncorrelated sources in the presence of multipath propagation. The combination of Joint Approximate Diagonalization of Eigenmatrices (JADE) and some well-known high-resolution algorithms such as Multiple Signal Classification (MUSIC) Minimum norm (Min-norm) and Modified Forward Backward Linear Prediction (MFBLP) are utilized to estimate the fading coefficients of a challenging environment containing many correlated signals. The results are compared with Estimation of Signal Parameters by Rotational Invariance Techniques (ESPRIT) based method in the literature. Several independent trials are performed and it is shown that the combined method of JADE and MFBLP has satisfactory fading coefficient performance even at very low signal-to-noise (SNR) levels and low number of antenna elements and data sample.Englishinfo:eu-repo/semantics/closedAccessfading coefficients, multi path propagation, direction of arrival, correlated signalsFading CoefficientsDirection of ArrivalMultipath PropagationCorrelated SignalsMulti Path PropagationConference Object