To improve the performance of passive tracking, the Gaussian sum particle filter (GSPF) was proposed.
为提高被动跟踪性能，提出了一种高斯和粒子滤波方法。
The results show that the GSPF not only has high tracking accuracy in passive tracking, but also has better stability and less computation amount than the PF.
仿真结果表明，对于机动目标被动跟踪问题，GSPF不仅具有较高的跟踪精度，而且与一般粒子滤波器相比，GSPF具有较好的跟踪稳定性和较低的计算量。
The results show that the GSPF not only has high tracking accuracy in passive tracking, but also has better stability and less computation amount than the PF.
仿真结果表明，对于机动目标被动跟踪问题，GSPF不仅具有较高的跟踪精度，而且与一般粒子滤波器相比，GSPF具有较好的跟踪稳定性和较低的计算量。
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