阵列导向矢量在智能天线自适应算法中的应用

Application of Array Steering Vector in Adaptive Algorithm for Smart Antenna

分析了智能天线自适应算法的基本原理,针对常用算法运算量大和测向精度有限等问题,在接收机的输出端引入阵列导向矢量信号,利用方向性因子和协方差矩阵的特殊性质,通过多次迭代运算得出区间内的信干噪比曲线。通过对八元直线型智能天线阵列的HFSS仿真实验表明,两组信干噪比曲线峰值均对应期望信号方向,峰值信干噪比大于30 dB,算法抗干扰性能良好。八元阵列天线的最大增益约为18 dB,通带内驻波比小于1.5,反射系数小于-25 dB,天线系统波束搜索性能良好,而且可以实现远距离传输。

Basic principle of adaptive algorithm for smart antenna is analysed.In allusion to the large computing burden and limited measurement precision of the common algorithm,the array steering vector signals are introduced through the receiver output.Using the special nature of the direction factor and the covariance matrix,the curve of interval SINR is obtained by repeated iteration.HFSS simulation experiments of 8-element array show both two peak values of the SINR curves are corresponding to the direction of the desired signals.And the SINR of peak values are greater than 30 dB.The algorithm has good anti-jamming ability.Maximum gain of the 8-element array is about 18 dB.The passband VSWR is less than 1.5.The reflection coefficient is less than -25 dB.The antenna beam search performance is good and it can realize the long-distance transmission.