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基于蟻群優(yōu)化算法的非均勻子陣劃分技術(shù)
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中國電子科技集團第研究所

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Non uniform subarray partitioning technology based on ant colony optimization algorithm
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    摘要:

    對于大型陣列天線(xiàn)應用于空域抗干擾系統中,為了降低硬件成本和減少計算復雜度,一般通過(guò)子陣劃分技術(shù)將整個(gè)陣列劃分為若干子陣,子陣內部采用模擬波束形成,子陣間采用數字自適應波束形成;由于均勻劃分方法的波束形成方向圖中存在柵零點(diǎn),提出一種基于蟻群算法的非均勻子陣劃分技術(shù),將陣列最大輸出信干噪比作為適應度函數,應用了概率計算與輪盤(pán)賭相結合的路徑規劃方法;結合信息素初始濃度和啟發(fā)式信息范圍,設計了新的適應度函數值與信息素更新的轉換關(guān)系;最后對所提算法進(jìn)行仿真,結果表明在不同規模、不同輸入干噪比、不同期望信號掃描角度下,所提算法在輸出信干噪比上優(yōu)于均勻劃分方法,且沒(méi)有柵零點(diǎn)產(chǎn)生,與全陣元的自適應波束形成方向圖、輸出信干噪比相近,驗證了該方法的有效性。

    Abstract:

    For large-scale array antennas in the airspace anti-interference system, in order to reduce hardware cost and reduce calculation complexity, the entire array is generally divided into several sub-array by sub-array division technology, analog beamforming is used inside the sub-array, and digital adaptive beamforming is used between the sub-arrays; Because there are grating nulls in the beamforming pattern of uniform partition method, a non-uniform subarray partition technology based on ant colony algorithm is proposed. The maximum output signal-to-interference-noise ratio of the array is taken as the fitness function, and the path planning method combining probability calculation with roulette wheel is applied; Combining the initial concentration of pheromone and heuristic information range, a new transformation relationship between fitness function value and pheromone update is designed; Finally, the simulation results show that the proposed algorithm is superior to the uniform partition method in the output signal-to-noise ratio at different scales, different input interference-to-noise ratio and different desired signal scanning angles, and there is no grid zero, which is similar to the adaptive beamforming pattern of the whole array element and the output signal-to-interference-noise ratio, which verifies the effectiveness of the proposed method.

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米澤輝,郭肅麗,秦固平,王明杰.基于蟻群優(yōu)化算法的非均勻子陣劃分技術(shù)計算機測量與控制[J].,2024,32(1):237-244.

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歷史
  • 收稿日期:2023-10-08
  • 最后修改日期:2023-10-25
  • 錄用日期:2023-10-26
  • 在線(xiàn)發(fā)布日期: 2024-01-29
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