现代雷达
現代雷達
현대뢰체
MODERN RADAR
2010年
1期
52-56
,共5页
在线ICA%雷达信号分选%实时分选%学习速率
在線ICA%雷達信號分選%實時分選%學習速率
재선ICA%뢰체신호분선%실시분선%학습속솔
on-line ICA%radar signal classification%real-time classification%learning rate
已有的独立分量分析(ICA)雷达分选方法多采用FastICA算法,FastICA算法是一种离线批处理ICA算法,缺乏实时分选能力.文中将一种变学习速率的在线ICA算法应用到雷达分选中,克服了FastICA算法无法实现在线实时分选的缺点;同时,算法能根据相依性测度所反映的信号分离的状态自适应地调节学习速率,平衡了传统在线ICA算法收敛速度和稳态误差之间的矛盾,从而使得采用这种ICA算法的雷达信号分选方法具有收敛速度快,分离效果好的特点.仿真实验验证了分选方法的有效性.
已有的獨立分量分析(ICA)雷達分選方法多採用FastICA算法,FastICA算法是一種離線批處理ICA算法,缺乏實時分選能力.文中將一種變學習速率的在線ICA算法應用到雷達分選中,剋服瞭FastICA算法無法實現在線實時分選的缺點;同時,算法能根據相依性測度所反映的信號分離的狀態自適應地調節學習速率,平衡瞭傳統在線ICA算法收斂速度和穩態誤差之間的矛盾,從而使得採用這種ICA算法的雷達信號分選方法具有收斂速度快,分離效果好的特點.倣真實驗驗證瞭分選方法的有效性.
이유적독립분량분석(ICA)뢰체분선방법다채용FastICA산법,FastICA산법시일충리선비처리ICA산법,결핍실시분선능력.문중장일충변학습속솔적재선ICA산법응용도뢰체분선중,극복료FastICA산법무법실현재선실시분선적결점;동시,산법능근거상의성측도소반영적신호분리적상태자괄응지조절학습속솔,평형료전통재선ICA산법수렴속도화은태오차지간적모순,종이사득채용저충ICA산법적뢰체신호분선방법구유수렴속도쾌,분리효과호적특점.방진실험험증료분선방법적유효성.
Recently, FastlCA is used mostly in radar signal classification. FastlCA is an off-line batch processing ICA algorithm and lacks function of real-time processing. In this paper, a variable learning rate on-line ICA algorithm is used for radar signal classification, and this classification method can overcome the disadvantage that FastlCA can t perform real-time classification. Meanwhile, this ICA algorithm can adjust the learning rate on basis of the degree of signal separation which is reflected by measure of signal dependence, and balance the contradiction between convergence rate and steady error of traditional on-line ICA algorithms. Therefore, the method of radar signal classification using this ICA algorithm has the advantages of fast convergence and better separation performance. Computer simulation results showed effectiveness of the proposed classification method.
