發(fā)布時(shí)間：2019-02-24 16:47

【摘要】：針對機(jī)會(huì)陣?yán)走_(dá)方向圖綜合的不確定問題,提出了一種基于模糊機(jī)會(huì)約束規(guī)劃的方向圖綜合規(guī)劃模型。該模型基于可信性理論,綜合考慮天線單元分布的隨機(jī)性以及激勵(lì)狀態(tài)的不確定性,將參與方向圖綜合時(shí)激勵(lì)打開的天線數(shù)目看做一個(gè)梯形模糊變量,用以描述綜合時(shí)的復(fù)雜不確定環(huán)境。隨后,將規(guī)劃模型轉(zhuǎn)化為清晰等價(jià)形式,再結(jié)合遺傳算法和灰關(guān)聯(lián)綜合評(píng)價(jià)法則設(shè)計(jì)了一種混合智能優(yōu)化算法,用于求解該模型。以一維任意非均勻線陣為例,對主瓣寬度和最大副瓣電平進(jìn)行了優(yōu)化。仿真表明:優(yōu)化后結(jié)果的可信性高于置信水平,驗(yàn)證了該算法的有效性。
[Abstract]:In view of the uncertain problem of the direction map of the opportunistic array, a comprehensive planning model of the direction map based on the fuzzy opportunity constraint planning is proposed. The model is based on the reliability theory, and the randomness of the antenna element distribution and the uncertainty of the excitation state are comprehensively considered, and the number of the antennas which are excited to be opened when the participation direction graph is integrated is regarded as a trapezoidal fuzzy variable, so as to describe the complex uncertain environment at the time of synthesis. Then, the planning model is transformed into a clear equivalent form, and a hybrid intelligent optimization algorithm is designed in combination with the genetic algorithm and the grey correlation comprehensive evaluation method, and is used for solving the model. The main lobe width and the maximum sidelobe level were optimized with one-dimensional arbitrary non-linear array. The simulation results show that the reliability of the optimized result is higher than the confidence level, and the validity of the algorithm is verified.
【作者單位】： 南京航空航天大學(xué)雷達(dá)成像與微波光子技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;南京電子技術(shù)研究所;
【基金】：國家自然科學(xué)基金(61071164,61271327) 江蘇優(yōu)勢高校學(xué)科建設(shè)工程~~
【分類號(hào)】：TN957.2

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