研究目的
To jointly estimate the amplitude, frequency, range, and 2D direction of arrival (elevation and azimuth angles) of near-field sources impinging on centrosymmetric cross array.
研究成果
The proposed hybrid schemes (GA-PS and GA-IPA) have shown good performance in terms of estimation accuracy, convergence rate, and robustness against noise compared to individual responses of GA, IPA, and PS, as well as traditional techniques. The GA-PS approach proved to be the best among them for the joint estimation of amplitude, frequency, range, elevation angle, and azimuth angle of near-field sources.
研究不足
The study focuses on narrowband and mutually statistically independent sources. The performance may vary with different types of sources or in more complex environments.
1：Experimental Design and Method Selection:
The study employs a hybrid evolutionary computational technique combining genetic algorithm (GA) as a global optimizer with pattern search (PS) and interior point algorithm (IPA) as rapid local search optimizers. A new multiobjective fitness function is constructed for this purpose.
2：Sample Selection and Data Sources:
The signal model for near-field sources impinging on a centrosymmetric cross array (CSCA) is developed. The array consists of two subarrays placed along the x-axis and y-axis, with a common reference sensor.
3：List of Experimental Equipment and Materials:
The study uses a MATLAB built-in optimization toolbox for simulations. The interelement spacing between two consecutive sensors in each subarray is taken as λ/
4：Experimental Procedures and Operational Workflow:
The methodology involves initializing a population of chromosomes, evaluating fitness, and applying selection, crossover, and mutation operations. The best chromosome from GA is then used as a starting point for PS and IPA for further refinement.
5：Data Analysis Methods:
The performance of the proposed hybrid schemes is evaluated in terms of estimation accuracy, convergence rate, and robustness against noise through Monte-Carlo simulations.
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