摘要
从工程实际出发,讨论了微波频率源杂散抑制指标测试、数据采集和判别的过程,明确了杂散自动化判别的需求。探讨了频谱剪切法和频谱分段分析法在自动化识别杂散中的应用。在此基础上提出一种自动识别杂波信号,给出准确判别结果的新方法-莱因达(PauTa)准则法。以软件实现了该自动测试杂散抑制的测试方法,验证了通过该方法得到的结果的准确性。反复的实践证明,此方法具有判别快速、准确度高、错误率低和分辨率高的优点。
Based on engineering practice,the testing,data acquisition and discrimination process of spurious suppression index of microwave frequency source are discussed,and the requirements of automatic testing and discrimination of spurious suppression are clarified.The application of several methods such as spectral shear method and spectral segmentation analysis method in automatic spurious recognition is discussed.On this basis,a new method,PauTa-Rule method,is proposed to find out clutter signal automatically and give accurate results.The test method of spurious suppression is realized by software,and the accuracy of the results obtained by this method is verified.Experiment and repeated tests show that this method has the advantages of high speed,high accuracy,low error rate and high resolution.
作者
黄晓俊
龙光寿
董东
余兴洪
HUANG Xiaojun;LONG Guangshou;DONG Dong;YU Xinghong(The 29th Research Institute of CETC,Chengdu 610036,China)
出处
《电子工艺技术》
2022年第4期208-211,215,共5页
Electronics Process Technology
关键词
频率源
杂散
测试方法
microwave frequency source
spurious suppression
testing method
