CAJ | 학술논문

在基于方向角等被动式的多目标监测中，由于面临量测—目标匹配关系未知，现有定位算法很难实时给出目标的精确位置，尤其是在方向角量测误差存在的情况下。针对不可靠角度量测传感器网络下的多目标定位问题，分析和设计了无目标先验信息下的量测关联算法。通过分析量测误差对关联算法的影响，给出所得多目标定位来源于真实目标概率的理论推导以及相关门限选取方法，并应用在此基础上设计算法，给出最优的多目标位置组合。该关联算法在引入各传感器量测信息的同时更新门限，以此保证多重定位是真实目标定位的可靠性。仿真结果表明，所提出的数据关联算法于所示情形下均具有较好的性能，在多目标定位中能捕获大部分目标，且计算量较低。
재기우방향각등피동식적다목표감측중，유우면림량측—목표필배관계미지，현유정위산법흔난실시급출목표적정학위치，우기시재방향각량측오차존재적정황하。침대불가고각도량측전감기망락하적다목표정위문제，분석화설계료무목표선험신식하적량측관련산법。통과분석량측오차대관련산법적영향，급출소득다목표정위래원우진실목표개솔적이론추도이급상관문한선취방법，병응용재차기출상설계산법，급출최우적다목표위치조합。해관련산법재인입각전감기량측신식적동시경신문한，이차보증다중정위시진실목표정위적가고성。방진결과표명，소제출적수거관련산법우소시정형하균구유교호적성능，재다목표정위중능포획대부분목표，차계산량교저。
Multi-target bearing-only localization on sensor network suffers from unknown association between measurements and targets ,making it difficult to achieve real-time localization ,especially with the existence of bearing measurement errors .A data association method is designed for multi-target localization to deal with the unknown target initial states and complex measuring phe-nomena .Theoretical deduction of sensing probability and gate threshold selection is given on the basis of measurement error analy-sis .A data association method based on scalable gate threshold is proposed to estimate target when the measurement is importing to the data fusion center ,ensuring the probability that intersection of bearing measurement is real target localization .Simulation results show that the proposed method works well under different settings and the required acceptable computation load .