统计模式识别在相控阵天线故障诊断中的应用研究

发布时间：2018-12-15 02:48

【摘要】：相控阵天线已广泛应用于雷达系统,而阵列单元的快速诊断日益成为难题。针对相控阵天线阵元故障难以检测的问题,提出了一种基于统计模式识别的方法。首先阐述了相控阵诊断原理,用矩量法构建了仿真环境,并提取了时域特征和小波特征。为增大类间平均距离,建立了故障树诊断模型以减小判别问题的规模,在时域特征空间中用投影聚类算法划分了子空间,在叶节点处用小波特征进行判别,实现了故障阵元的定位。仿真实验表明,该方法在信噪比较低时,比非层次方法优势明显,信噪比大于8时,识别率达到95%以上,且随着规模的增加,识别率并未明显下降,证明该方法理论上能够有效诊断相控阵阵元故障。实际应用中,只须对阵列的行或列逐次诊断即可获知整个阵面的故障信息。
[Abstract]:Phased array antennas have been widely used in radar systems, and the rapid diagnosis of array elements has become an increasingly difficult problem. Aiming at the difficulty of fault detection in phased array antenna array, a method based on statistical pattern recognition is proposed. Firstly, the principle of phased array diagnosis is introduced, the simulation environment is constructed by moment method, and the time domain feature and wavelet feature are extracted. In order to increase the average distance between classes, a fault tree diagnosis model is established to reduce the scale of the discriminant problem. The subspace is divided by projection clustering algorithm in the time domain feature space, and the wavelet feature is used at the leaf node. The location of fault elements is realized. The simulation results show that this method has more advantages than the non-hierarchical method when the SNR is low, and the recognition rate is more than 95% when the SNR is greater than 8, and the recognition rate does not decrease obviously with the increase of the scale. It is proved that this method can effectively diagnose the faults of phased array elements theoretically. In practical application, the fault information of the whole array can be obtained only by the row or column diagnosis of the array.
【作者单位】：陆军军官学院;
【分类号】：TN821.8;TP391.4

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