被动多传感器自适应曲线模型跟踪新算法

针对被动多传感器机动目标跟踪系统中，由于目标机动性能的不确定以及存在的非线性而导致系统模型与目标实际运动模式难以匹配的问题，提出一种新的自适应曲线模型跟踪算法．该算法通过建立新的方向角模型，设计一种自适应的转弯角速度估计方法，实时计算每个采样时刻目标的切向加速度，以获得与目标实际运动模式相匹配的运动模型，并与扩展卡尔曼滤波相结合，有效提高了被动多传感器下机动目标的跟踪精度．

Adaptive curvilinear model based target tracking algorithm for multiple passive sensors

When tracking a maneuvering target by multiple passive sensors,it is difficult to match a tracking model with the actual motion pattern due to the uncertain changes of target states and the existence of nonlinearity.Therefore,a new maneuvering target tracking algorithm is proposed based on adaptive curvilinear model.A new model of direction angle is introduced to designe the estimation method of the adaptive turning angular velocity and calculating tangential acceleration at each sampling time,through which...