Pattern Generation Using LS Algorithm for 16-Element Cross Arrays, Linear Arrays, Planar Arrays, and Circular Arrays
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In this article, we will discuss in detail the radiation patterns of signal processing algorithms for four different array configurations: cross arrays, linear arrays, planar arrays, and circular arrays, each comprising 16 elements. Understanding these algorithms is highly beneficial for students studying array signal processing. We will introduce the Least Squares (LS) algorithm for each array type and analyze its performance and applicable scenarios. This will provide readers with deeper insights and assist them in making informed choices for practical applications. The implementation typically involves MATLAB or Python code to compute array weights, steering vectors, and pattern visualization. Key functions may include array geometry setup, LS weight calculation using matrix inversion or pseudo-inverse methods, and pattern plotting with polar or Cartesian coordinates. We hope this article proves helpful for students and researchers in array signal processing.
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