Sensor Control for Multi- Target Tracking in the Presence of Doppler Blind Zone

Xie, Xin; Sun, Hongyu; Wu, Weihua; Cai, Yonghua; Jiang, Surong; Wu, Changfei

doi:10.1109/iccais46528.2019.9074606

Cited by 2 publications

(1 citation statement)

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“…Unmanned air vehicles (UAVs) are extensively utilized in various applications such as military operations, agriculture, and target tracking [86][87][88][89][90][91][92][93][94][95][96][97][98][99][100][101][102][103]. There is considerable ongoing research in these areas, particularly in recent advancements.…”

Section: Introductionmentioning

confidence: 99%

The application of sliding innovation filter as estimation strategy applied to a UAV

AlShabi,

Gadsden,

Khuwaileh

et al. 2024

Unmanned Systems Technology XXVI

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The unmanned aerial vehicle (UAV) and unmanned aerial system (UAS) are popular in nowadays applications including military, industry, weather casting, monitoring, and many other applications. According to several research, the system must be controlled in precise way to make sure that the UAV and UAS are moving in the desired trajectories. However, this task is not an easy task in real life due to the presence of disturbances and noise in feedback measurements. To overcome this issue, researchers either developed more stable controllers, i.e. active disturbance rejection control (ADRC), or they improved the measured signals using filters with more accurate/stable performance. This work belongs to the second category, where a newly developed filter, which is referred to as sliding innovation filter (SIF), is used to estimate the states of a UAV system while it is tracking a target at the same height to improve the quality of the controller.

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