系统存储量 meaning in Chinese

system storage capacity

To solve the problem of filtering divergence in the case of low observability and large estimating error to the target ’ s original state in the ssbopls , this thesis presents a two - stage multiple mode extended kalman filtering ( ekf ) algorithm . at the beginning of filtering , system often has large estimating error . in order to efficiently avoid filtering divergence , the algorithm uses a mode - set which contains multiple modes to approach the real target state mode
在估计误差比较大的滤波初始阶段,采用多个模型组成的模型集合加权来逼近目标的真实状态模型,可以有效地减小滤波的模型误差,避免滤波的发散;当滤波达到稳态后,改为采用单模型滤波以节省计算量和系统存储量。