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Irregular Subarray Design Strategy Based on Weighted L1 Norm Iterative Convex Optimization
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DOI：10.1109/LAWP.2021.3132001.png)
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摘要
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Subarray technology is an effective tradeoff between the sensor array radiation performance and manufacturing cost control. This letter proposes an irregular subarray tiling strategy based on the weighted L1 norm iterative convex optimization (WL1X) method. We first establish a subarray partition model and solve the L0 norm constraint problem by weighted L1 norm iterative convex optimization and then the optimal solution is selected based on the radiation performance. Further, We adopt a good initial point for the local optimization to improve scheme acquisition and selection efficiency. The proposed method can quickly obtain a subarray partition structure with better performance. The effectiveness and potential of the proposed methods are verified by various numerical examples.
Keyword:
Convex functions
Optimization
Mathematical models
Apertures
Dictionaries
Brain modeling
Convergence
Irregular subarray
subarray tiling
weighted L1 norm
期刊
IF:
4.8
论文数:
1.0W
被引数:
2.8W
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引用论文
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