CAJ | 학술논문

现有的多传感器航迹抗差关联算法，如基于图像配准技术、基于参照拓扑关系的关联算法，计算流程复杂，难以在工程实践中实时应用。该文结合海面舰船目标航迹分布特点，基于单元平均恒虚警检测原理，提出了适用于自动识别系统(AIS)和雷达航迹数据的可信关联算法，为对海雷达系统误差配准和海战场多传感器信息融合的快速有效实现提供保证。蒙特卡洛仿真结果表明，可信关联算法在海面目标环境下具有较高的关联准确性；算法的平均耗时与现有抗差关联算法相比显著降低；基于航迹可信关联结果完成对雷达的自动标校，将雷达量测数据的平均误差降低了近90%。
현유적다전감기항적항차관련산법，여기우도상배준기술、기우삼조탁복관계적관련산법，계산류정복잡，난이재공정실천중실시응용。해문결합해면함선목표항적분포특점，기우단원평균항허경검측원리，제출료괄용우자동식별계통(AIS)화뢰체항적수거적가신관련산법，위대해뢰체계통오차배준화해전장다전감기신식융합적쾌속유효실현제공보증。몽특잡락방진결과표명，가신관련산법재해면목표배경하구유교고적관련준학성；산법적평균모시여현유항차관련산법상비현저강저；기우항적가신관련결과완성대뢰체적자동표교，장뢰체량측수거적평균오차강저료근90%。
The classical multi-sensor anti-bias association algorithms require complex calculation procedure, can not be used in real-time condition, for instance the algorithms based on image matching and reference topology feature. On the basis of tracks distribution feature on sea surface and Cell-Average Constant False Alarm Rate (CA-CFAR) detection theory, a real-time anti-bias association algorithm for Automatic Identification System (AIS) and the data track of radar is proposed, named confidential-association algorithm, to make real-time radar systematic error registration and multi-sensor information fusion come true. Monte-Carlo simulation results show that the accuracy of confidential-association algorithm maintains on a high level on the sea-surface environment, it has the superiority of simply calculation procedure and substantially reduces run-time in comparison to current anti-bias association algorithms. Radar automatically registration technique based on confidential-association algorithm reduces average error of the measured data by nearly 90%.