CAJ | 학술논문

针对机动目标的交互多模跟踪滤波器，提出了基于模型过程噪声自适应调整的双门限的AIMM算法，并对其性能进行了研究，该算法对模型初始参数不敏感，具有稳定性，在目标模型与目标实际运动偏差较大的情况下，具有较好的跟踪性能；针对密集杂波和多目标情况下的目标跟踪，将多模交互滤波的模型自适应调整算法与JP-DA算法结合，提出了AIMMJPDA算法的思想与实现。仿真结果显示该方法在机动目标跟踪方面具有模型调整简单、跟踪实时性良好的效果。
침대궤동목표적교호다모근종려파기，제출료기우모형과정조성자괄응조정적쌍문한적AIMM산법，병대기성능진행료연구，해산법대모형초시삼수불민감，구유은정성，재목표모형여목표실제운동편차교대적정황하，구유교호적근종성능；침대밀집잡파화다목표정황하적목표근종，장다모교호려파적모형자괄응조정산법여JP-DA산법결합，제출료AIMMJPDA산법적사상여실현。방진결과현시해방법재궤동목표근종방면구유모형조정간단、근종실시성량호적효과。
Aiming at the interactive multimode (IMM)filter for maneuvering targets tracking,an algorithm which utilizes double threshold to adjust model process noise adaptively is proposed,and the JPDA algorithm is combined with the adaptive interactive multimode algorithm to realize target tracking in the cases of dense clutter and multiple targets. The algorithm is not sensitive to initial parameters and can track targets stably. The simulation results show that the method is simple in adjustment of state models of maneuvering target,which has good tracking performance and real-time effect.