鱼雷技术
魚雷技術
어뢰기술
TORPEDO TECHNOLOGY
2013年
1期
76-80
,共5页
舰船辐射噪声%小波变换%特征提取%目标分类识别
艦船輻射譟聲%小波變換%特徵提取%目標分類識彆
함선복사조성%소파변환%특정제취%목표분류식별
ship-radiated noise%wavelet transform%feature extraction%target classification identification
为了有效提高舰船目标的识别率,提出了一种基于小波分频带统计特征的舰船分类识别方法.该方法利用小波变换分别提取了舰船辐射噪声带内信号的小波模极大值和带外信号的分频段能量两类特征,并将两类目标特征的联合量作为舰船的目标特征用以识别舰船目标.同时利用实测海录58组舰船的辐射噪声数据对上述舰船目标特征的分类识别方法进行了验证,结果表明,利用联合特征对目标的检测概率可以达到97%以上.
為瞭有效提高艦船目標的識彆率,提齣瞭一種基于小波分頻帶統計特徵的艦船分類識彆方法.該方法利用小波變換分彆提取瞭艦船輻射譟聲帶內信號的小波模極大值和帶外信號的分頻段能量兩類特徵,併將兩類目標特徵的聯閤量作為艦船的目標特徵用以識彆艦船目標.同時利用實測海錄58組艦船的輻射譟聲數據對上述艦船目標特徵的分類識彆方法進行瞭驗證,結果錶明,利用聯閤特徵對目標的檢測概率可以達到97%以上.
위료유효제고함선목표적식별솔,제출료일충기우소파분빈대통계특정적함선분류식별방법.해방법이용소파변환분별제취료함선복사조성대내신호적소파모겁대치화대외신호적분빈단능량량류특정,병장량류목표특정적연합량작위함선적목표특정용이식별함선목표.동시이용실측해록58조함선적복사조성수거대상술함선목표특정적분류식별방법진행료험증,결과표명,이용연합특정대목표적검측개솔가이체도97%이상.
This paper proposes an identification method of ship classification based on wavelet frequency band statisti-cal features to improve effectively the detection probability of a ship. In this method, the maximum of wavelet modulus for in-band signal of ship-radiated noise and the frequency band energy of outer band signal are extracted, respectively, by using wavelet transform, and the combination of the two target features is used for identifying a ship target. This method is verified by 58 sets of measured data of radiated noise from sea trial, and the results show an improved detec-tion probability of 97%.
