本文選題：陣列信號處理 + 二維波達方向估計　； 參考：《系統(tǒng)工程與電子技術(shù)》2014年05期

【摘要】：針對常規(guī)十字陣子陣間互耦不易處理這一問題,設(shè)計一種立體十字型陣列,并在該陣列基礎(chǔ)上,提出立體十字型互耦陣列傳播算子(propagation method for tridimensional cross array in presence of mutual coupling,TCA-MC-PM)算法。該算法首先分別從子陣中選取部分合適陣元構(gòu)成陣列,將理想導向向量與互耦系數(shù)剝離,利用信號子空間與理想導向向量張成同一空間這一關(guān)系估計方位角與俯仰角,接著通過子空間與秩損原理估算互耦系數(shù),最后利用整個陣列的空間譜函數(shù)完成方位角和俯仰角的配對。在此過程中涉及的子空間都以陣列的傳播算子構(gòu)建,可避免特征分解,降低運算量。仿真表明,本文提出的算法不涉及空間譜搜索,運算量小,有效抑制互耦影響,測量精度高。
[Abstract]:Aiming at the difficulty of dealing with the problem of mutual coupling between conventional cross matrix arrays, a stereo cross array is designed. Based on this array, a propagation method for tridimensional cross array in presence of mutual coupling TCA-MC-PMPM algorithm is proposed. The algorithm firstly selects some suitable elements from the subarray to form an array, and separates the ideal guidance vector from the mutual coupling coefficient, and estimates the azimuth and pitch angle by using the relationship between the signal subspace and the ideal guidance vector Zhang Cheng space. Then the mutual coupling coefficient is estimated by subspace and rank loss principle. Finally, the azimuth and pitch angle pairing is completed by using the spatial spectrum function of the whole array. All the subspaces involved in this process are constructed with propagation operators of the array, which can avoid the decomposition of the characteristic and reduce the computational complexity. The simulation results show that the proposed algorithm does not involve spatial spectrum search, has less computation, effectively suppresses the mutual coupling effect, and has high measurement accuracy.
【作者單位】： 南京理工大學機械工程學院;
【基金】：高維信息智能感知與系統(tǒng)教育部重點實驗室(南京理工大學)開放基金(3092013012205) 高等學校博士學科點專項科研基金(20133219110027)資助課題
【分類號】：TN911.7

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1 張e，

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