研究模糊邏輯在戰(zhàn)場聲?地震動目標(biāo)檢測和識別中的有效算法Z 應(yīng)用模糊集理論與模糊邏輯推理方法, 在分析目標(biāo)信息不確定性的基礎(chǔ)上設(shè)計了適用于目標(biāo)檢測和分類的隸屬函數(shù), 建立了相應(yīng)的推理規(guī)則, 構(gòu)成了戰(zhàn)場偵察傳感器系統(tǒng)目標(biāo)檢測和分類的模糊邏輯推理系統(tǒng)Z 典型戰(zhàn)場目標(biāo)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(xiàn)對戰(zhàn)場聲?地震動目標(biāo)的檢測和識別分類是可行的Z
關(guān)鍵詞: 戰(zhàn)場偵察傳感器系統(tǒng); 目標(biāo)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