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Posterior Cramér-Rao Bounds for Doppler Biased Distributed Tracking

机译:后部Cramér-Rao边界用于多普勒偏移分布式跟踪

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This paper investigates distributed tracking with range-Doppler coupling, where a range measurement of a target of interest is lin- early biased by its range-rate (or Doppler). The coupling parame- ter . can be zero, positive, or negative. The posterior Cram′ er-Rao bound (PCRB) is derived for distributed radar systems: multistatic and multiple-input multiple-output (MIMO) settings. In the mul- tistatic case, a positive . leads to the lowest PCRB, the same as is true for monostatic tracking. The paper also compares the track- ing performance of multistatic and MIMO configurations, where the latter utilizes two waveforms with §. parameters, respectively. Regarding the power-unlimited case, a MIMO radar can always outperform a multistatic one from a tracking perspective. However, if the total power is limited, the situation is somewhat different: the transmitter co-located configuration is worse than a multistatic one, while in the widely-separated case the better choice depends on geometry.
机译:本文研究了具有距离多普勒耦合的分布式跟踪,其中目标的距离测量受其距离率(或多普勒)的影响而有所偏差。耦合参数。可以为零,正数或负数。后Cram'er-Rao边界(PCRB)是针对分布式雷达系统得出的:多静态和多输入多输出(MIMO)设置。在多动的情况下,为正。导致最低的PCRB,与单静态跟踪的情况相同。本文还比较了多静态和MIMO配置的跟踪性能,其中后者利用了带§的两个波形。参数。关于功率无限的情况,从跟踪的角度来看,MIMO雷达始终可以胜过多静态雷达。但是,如果总功率受到限制,则情况会有所不同:发射机共址配置比多静态配置差,而在广泛分离的情况下,更好的选择取决于几何形状。

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