DoA Detection Under Heavy Noise and Fading

Incoming electromagnetic message signals are received by the Base Station (BS) with antenna geometry setup as a Uniform Linear Array (ULA) configuration, and the desired users are detected by computing their Direction of Arrival (DoA). The presence of fading and noise makes the detection process more challenging. Thus to accomplish this, Triangular Decomposition DoA (TD) Method has been proposed, which is modeled as a vector subspace method. Whether the spatial distance between the users is far or near, or when the system is using either large or fewer antenna elements, the proposed TD method provides optimal detection of the desired users. The existing methods were compared with the proposed method for different use cases. The proposed TD Method detected the desired users with a very high-resolution detection of 2-degree spacing between the users whereas, existing methods could detect only up to 5-degree spacing under the erratic conditions of the channel. The different performance parameters were computed such as Time Complexity and Detection Error to test the robustness and accuracy of these algorithms. The proposed TD method delivered the best results consistently as compared to the existing methods.