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Posterior Cramer-Rao lower bounds for multitarget bearings-only tracking

机译:后方Cramer-Rao下限,仅用于多目标方位跟踪

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摘要

Usually, only the Cramer-Rao lower bound (CRLB) of single target is taken into consideration in the state estimate of passive tracking systems. As for the case of multitarget, there are few works done due to its complexity. The recursion formula of the posterior Cramer-Rao lower bound (PCRLB) in multitarget bearings-only tracking with the three kinds of data association is presented. Meanwhile, computer simulation is carried out for data association. The final result shows that the accuracy probability of data association has an important impact on the PCRLB.
机译:通常,在被动跟踪系统的状态估计中仅考虑单个目标的Cramer-Rao下限(CRLB)。至于多目标的情况,由于其复杂性而很少完成工作。给出了三种数据关联的多目标纯方位跟踪中的后克拉默-拉奥下界(PCRLB)的递推公式。同时,进行计算机仿真以进行数据关联。最终结果表明,数据关联的准确性概率对PCRLB具有重要影响。

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