研究模糊邏輯在戰場聲?地震動目標檢測和識別中的有效算法Z 應用模糊集理論與模糊邏輯推理方法, 在分析目標信息不確定性的基礎上設計了適用于目標檢測和分類的隸屬函數, 建立了相應的推理規則, 構成了戰場偵察傳感器系統目標檢測和分類的模糊邏輯推理系統Z 典型戰場目標信號樣本檢驗表明, 該方法具有良好的檢測和識別分類效果, 利用基于模糊邏輯的分類器實現對戰場聲?地震動目標的檢測和識別分類是可行的Z
關鍵詞: 戰場偵察傳感器系統; 目標識別; 模糊邏輯
Abstract: Exp lo res the effect iveness of detect ion and classif icat ion acco rding to the characterist ics of acou st ic and seism ic signal of bat t lef ield target s, based on the fuzzy set theo ry and fuzzy logic reason ing m ethod by analyzing the info rm at ion uncertain ty of target signal, the m em bersh ip funct ion s su ited fo r target detect ion and target iden t if icat ion are con st ructed, and fuzzy reason ing ru les are p ropo sed. A fuzzy logic reason ing system fo r bat t lef ield su rveillance is set up to detect and iden t ify the target s. It is demon st rated that the fuzzy logic has h igher co rrect detect ion and iden t if icat ion rates fo r acou st ic and seism ic signals of bat t lef ield target s acco rding to target signal samp le experim en t s, and the cassif ier u sing fuzzy logic is su itab le fo r the detect ion and classif icat ion of bat t lef ield target s.
Key words: sen so r system fo r bat t lef ield su rveillance; target iden t if icat ion; fuzzy logic