首页> 外文会议>International Conference on ICA >QPSO for Synthesis of Scanned Linear Array Antenna for Fixed Side Lobe Level and First Null Beam Width Including Wide Null Placement Hemant Patidar and Gautam Kumar Mahanti
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QPSO for Synthesis of Scanned Linear Array Antenna for Fixed Side Lobe Level and First Null Beam Width Including Wide Null Placement Hemant Patidar and Gautam Kumar Mahanti

机译:用于合成扫描线性阵列天线的QPSO,用于固定侧凸瓣水平和第一空光束宽度,包括宽空放置血糖Patidar和Gautam Kumar Mahanti

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In this research paper, quantum particle swarm optimization (QPSO) algorithm, an algorithm founded on the basic theory of particle cluster and properties of quantum mechanics, has been introduced for design of uniformly spaced scanned linear array antennas with definite value of sidelobe level (SLL), first null beam width (FNBW), and broad null depth. An effort is made such that these parameters are made equal to their related specific values. This is usually done by changing excitation current amplitude of the elements. The expression of array factor is derived by using the property of linear array antennas. One example has been presented with 35 isotropic antennas. Generated Pattern is scanned to an angle of 30°. The obtained results have shown that this technique is able to find required value of SLL, FNBW, and wide null depth. Although, the proposed method is developed and applied to a linear array of isotropic antennas; however, the principle can easily be applied to other types of arrays.
机译:在本研究论文中,Quantum粒子群优化(QPSO)算法,在粒子集群基本理论和量子力学性质上创立的算法,用于设计均匀间隔的扫描线性阵列天线,具有侧链级的确定值(SLL ),第一空光束宽度(FNBW)和广泛的空深度。努力使得这些参数等于其相关的特定值。这通常通过改变元素的激励电流幅度来完成。通过使用线性阵列天线的特性来导出阵列因子的表达。一个例子已经呈现35个各向同性天线。产生的图案扫描到30°的角度。所获得的结果表明,该技术能够找到所需的SLL,FNBW和宽无空深度值。虽然,所提出的方法是开发并应用于各向同性天线的线性阵列;然而,原理可以很容易地应用于其他类型的数组。

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