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简化UT(unscentedtransformation)转化参数,修改UKF(unscentedKalmanfilter)提议分布,提出了改进的粒子滤波算法。调节因子的增加使得能在线自适应估计,滤波性能提高,并形成一个自适应的算法。仅有角测量的目标跟踪仿真试验证实了改进的粒子滤波算法要优于其它滤波方式。
Simplified unscented transformation (UT) transformation parameters, modified unscented Kalman filter (UKF) proposed distribution, and proposed an improved particle filter algorithm. The increase of the adjustment factor enables online adaptive estimation, improved filtering performance and formation of an adaptive algorithm. The target-only tracking simulation experiments with only angular measurements confirmed that the improved particle filter algorithm is superior to other filtering methods.