利用異類傳感器的互補特性, 提出了一種新的運動目標識別算法: 選取目標速度、第1 主頻、第2 主頻作為識別的有效特征; 運用模糊推理得到目標分類信息的基本概率分配函數(shù); 把D2S 證據(jù)推理和基于概率分配函數(shù)的決策相結合, 獲得對目標的有效識別Z 仿真結果證明了該算法的有效性Z
關鍵詞: 聲傳感器; 雷達; 目標識別; 模糊推理; D2S 證據(jù)推理
Abstract: M ak ing u se of the characterist ics of comp lem en tat ion of heterogenou s sen so rs, a new target recogn it ion algo rithm is p ropo sed. V elocity, the f irst and the second dom inan t f requency of the target are taken as the effect ive characters, and the exp ression of basic p robab ility assign2 m en t funct ion fo r the target character is ob tained th rough fuzzy inference. By com b in ing the D2S eviden t ial reason ing w ith the decision based on the basic p robab ility assignm en t funct ion, reliab le recogn it ion of the target is then ob tained. Sim u lat ion resu lt s p roved the algo rithm to be effect ive.
Key words: acou st ic sen so r; radar; target recogn it ion; fuzzy inference; D2S eviden t ial reason ing