DOA Estimation Using Niche Genetic Algorithm
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This article presents a DOA estimation method based on niche genetic algorithm and demonstrates corresponding MATLAB simulation results. We provide a detailed discussion of the method's advantages and limitations, accompanied by comparative analysis against other common algorithms. The implementation utilizes MATLAB's global optimization toolbox for niche formation and fitness sharing mechanisms, preventing premature convergence by maintaining population diversity. Key functions include custom fitness evaluation for angle spectrum calculation and specialized crossover operators for directional parameter optimization. Through analysis of these results, we gain deeper insights into the algorithm's performance characteristics, providing valuable references for future research in array signal processing.
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