Improved Direction of Arrival Estimation using Multiple Signal Classification (MUSIC) Algorithm with Decomposition and Normalization

It is important to determine the direction of arrival (DoA) targets in various applications such as radar and sonar. Multiple Signal Classification (MUSIC), Estimation Parameters with Rotational In variance Technique (ESPRIT), Weighted Subspace Fitting (WSF) are subspace-based methods that can be used improve DoA estimation. MUSIC effective for high-resolution, uncorrelated signals, but may struggle cases where there two nearby a low signal-to-noise ratio (SNR). The goal this research performance algorithm estimation SNR signals. proposed solution involves decomposing normalizing signal during transmission. Simulations were conducted test modified procedure estimation, it was found received power improved though noisy environment well system detect more number targets. technique decomposition normalization could also applied other areas WiFi communication, autonomous vehicles biomedical image processing etc.