This paper focuses on the application of non-uniform arrays (NUAs) to achieve high- level arrival direction estimation (DOAs) and to solve challenges such as target separation and a reduced snapshot. The proposed research includes a theoretical derivative analysis and MATLAB-based simulations, showing better resolution than conventional uniform linear arrays. One of the main concerns of this research is to minimize the number of elements of array antenna, thereby reducing the price and weight of the system while maintaining its performance. Unlike most existing methods, which require complex calculations based on dense arrays or calculations, this method provides a balance between the complexity and error rate of time and space. The results of this research show that NUAs provide good spatial resolution by distinguishing targets even in low S/N and snapshot counts. The results are evaluated by the root average square error and music spectra, as well as an eigenvalue analysis using bar graphs, and demonstrate the effectiveness of the proposed method. The study highlighted NUA's potential to improve DOA estimation capabilities and to provide the best solutions for radar and wireless communication applications at relatively low cost.