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Particle filters (PFs) are employed to track moving targets using observation likelihoods obtained from the differential radio maps.
The method renders a better performance in range sidelobe suppression for the detection of multiple moving targets using Golay complementary waveforms than the existing Binominal Design algorithm.
We developed a verification method for moving targets using 4D dose calculation based on the information acquired during treatment [ 65].
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Other missiles designed for moving targets use thermal imaging, while the Soviet BUK missile system, which is currently copping the blame for downing MH17, uses a tracking technique called semi-active radar homing.
This paper presents a new image based visual tracking scheme for a mobile robot to trace a moving target using a single camera mounted on the mobile robot.
However, the experimental results of radial velocity estimation and reloaction of moving target using the maximum likelihood method are shown in the next section.
This paper deals with the imaging of a moving target using a multifrequency and multistatic radar consisting in one receiver and several narrowband transmitters.
The main task the control system has to perform is that of keeping the ASV within a given range from a moving target, using position information.
Tracking a moving target using a camera mounted on a fixed-wing unmanned aircraft is considered, but the control formulation is not specific to this choice of sensor or estimation task.
When shooting at a moving target, use the mil-dots in the scope to move ahead of the target to hit them.
The scheme detects moving targets by using symmetric defocusing filter pairs (SDFP).
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