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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Multisensor target tracking performance with bias compensation
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Multisensor target tracking performance with bias compensation

机译：具有偏置补偿的多传感器目标跟踪性能

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摘要

In this paper, multisensor-multitarget tracking performance with bias estimation and compensation is investigated when only moving targets of opportunity are available. First, we discuss the tracking performance improvement with bias estimation and compensation for synchronous biased sensors, and then a novel bias estimation method is proposed for asynchronous sensors with time-varying biases. The performance analysis and simulations show that asynchronous sensors have a slightly degraded performance compared with the "equivalent" synchronous ones. The bias estimates as well as the corresponding Cramer-Rao lower bound (CRLB) on the covariance of the bias estimates, i.e., the quantification of the available information on the sensor biases in any scenario are also given. Tracking performance evaluations with different sources of biases-offset biases, scale biases, and sensor location uncertainties, are also presented and we show that tracking performance is significantly improved with bias estimation and compensation compared with the target tracking using the original biased measurements. The performance is also close to the lower bound obtained in the absence of biases
机译：在本文中，研究了只有机会的移动目标可用时具有偏差估计和补偿的多传感器多目标跟踪性能。首先，我们讨论了通过偏置估计和补偿对同步偏置传感器进行跟踪性能的改进，然后针对具有时变偏置的异步传感器提出了一种新颖的偏置估计方法。性能分析和仿真表明，与“等效”同步传感器相比，异步传感器的性能略有下降。还给出了偏差估计以及偏差估计协方差的相应Cramer-Rao下界（CRLB），即，在任何情况下都对传感器偏差的可用信息进行了量化。还介绍了使用不同来源的偏置，偏移偏置，比例偏置和传感器位置不确定性进行的跟踪性能评估，并且我们证明，与使用原始偏置测量​​的目标跟踪相比，通过偏置估计和补偿，跟踪性能得到了显着改善。性能也接近在没有偏差的情况下获得的下限

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