研究目的
To design an optimum interferometric array configuration for interference suppression in radio astronomy, comparing strategies with and without regularity conditions on antenna placements.
研究成果
The proposed regularized placement array configuration (RPAC) strategy effectively controls sidelobe levels with acceptable SINR loss, outperforming unrestricted methods in terms of pattern control and hardware feasibility. It is applicable to various array signal processing applications, including radio astronomy.
研究不足
The SCP method is a local heuristic and its performance depends on the initial point, potentially not finding the global optimum. The RBAC strategy may become infeasible with a large number of constraints, and the study is limited to linear arrays and specific simulation scenarios.
1:Experimental Design and Method Selection:
The study formulates sparse array design as a combinatorial optimization problem to maximize output SINR using Capon beamforming. Sequential convex programming (SCP) is used to solve the non-convex problem by iteratively linearizing the objective function into convex subproblems.
2:Sample Selection and Data Sources:
Simulations involve a linear array with isotropic antennas on grid points, considering a single source and interfering signals with specified directions and power levels.
3:List of Experimental Equipment and Materials:
Antennas are modeled with positions on a grid, using MATLAB for simulations and CVX for optimization.
4:Experimental Procedures and Operational Workflow:
The array is divided into subgroups for RPAC, and beampattern constraints are applied for RBAC. SCP is iterated to find antenna selections, and results are validated through enumeration.
5:Data Analysis Methods:
Output SINR, peak sidelobe level (PSL), and sidelobe level around the mainlobe (SLaM) are calculated and compared across different array configurations.
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