现代导航
現代導航
현대도항
MODERN NAVIGATION
2015年
3期
282-285,309
,共5页
异常检测%机载塔康测距%One-Class SVM
異常檢測%機載塔康測距%One-Class SVM
이상검측%궤재탑강측거%One-Class SVM
Anomaly Detection%Airborne TACAN Ranging%One-Class SVM
针对多源导航信息融合系统中导航传感器数据保障的问题，本文提出了一种基于One-Class SVM的机载塔康测距信息异常检测方法。首先，提取机载塔康测距信息的时域参数构成特征样本空间；然后，采用One-Class SVM训练出机载塔康测距信息正常状态时的模型，通过发现非正常状态的样本进行异常检测。利用模拟的机载塔康测距数据进行方法验证，实验结果表明：该异常检测方法对机载塔康测距信息中的噪声有一定的鲁棒性，可以满足实际应用的需要。
針對多源導航信息融閤繫統中導航傳感器數據保障的問題，本文提齣瞭一種基于One-Class SVM的機載塔康測距信息異常檢測方法。首先，提取機載塔康測距信息的時域參數構成特徵樣本空間；然後，採用One-Class SVM訓練齣機載塔康測距信息正常狀態時的模型，通過髮現非正常狀態的樣本進行異常檢測。利用模擬的機載塔康測距數據進行方法驗證，實驗結果錶明：該異常檢測方法對機載塔康測距信息中的譟聲有一定的魯棒性，可以滿足實際應用的需要。
침대다원도항신식융합계통중도항전감기수거보장적문제，본문제출료일충기우One-Class SVM적궤재탑강측거신식이상검측방법。수선，제취궤재탑강측거신식적시역삼수구성특정양본공간；연후，채용One-Class SVM훈련출궤재탑강측거신식정상상태시적모형，통과발현비정상상태적양본진행이상검측。이용모의적궤재탑강측거수거진행방법험증，실험결과표명：해이상검측방법대궤재탑강측거신식중적조성유일정적로봉성，가이만족실제응용적수요。
According to the anomaly detection for ranging information of airborne TACAN in system which fused information of multi-source navigation, this article proposed a detection method based on One-Class SVM. First, the features space is built by extracting time domain features. Then, the model of normal state is built by training the One-Class SVM classifier. Anomaly information is detected by the trained model. The experimental results show that the proposed method has good performance in anomaly detection.
