同时,在无法得到精确干扰状态信息的情况下,提出了一种迭代干扰状态估计及译码算法。
If exact JSI was not available, however, an iteratively joint jammer state estimation and decoding algorithm was proposed.
然后将干扰模型中的“干扰项”作为状态变量增广到原系统的状态空间中;接着基于增广的状态空间模型设计线性卡尔曼滤波器实现对干扰状态的估计;
Then, augment the system state with the disturbance vector and linear Kalman filter was used to estimate the disturbance and its effect on the system output.
对身体平衡状态的任何干扰都可能产生压力。
Any disturbance to the body's state of equilibrium can produce stress.
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