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In [10], a time domain, moving target detection processing formulation for detecting human motion behind walls was presented with consisting of exponential averaging background subtraction, ordered statistics constant false alarm rate detection and binary accumulation.
Our paper presents a novel approach for moving target detection.
Conventional moving target detection focuses on algorithms to improve detection efficiency.
In this paper we proposed a new system for moving target detection.
In this paper, we consider the moving target detection problem for a Pulse Doppler (PD) radar in the presence of multiple velocity jamming.
Insect compound eyes offer unique advantages for moving target detection and these advantages have attracted the attention of many researchers in recent years.
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Several interferometry SAR (InSAR -based movInSAR -baseddetection algorithmovinge been proposed previously [11–14].
But the conventional FrFT is redundant for moving targets detection [19].
These virtues make the algorithm to be an advisable choice for ground slowly moving targets detection in real-world clutter environments.
To improve the performance of slowly moving targets detection, it is necessary to apply some clutter suppression or cancelation suppression techniques.
Given that we presented a stationary rather than a moving target, target detection per se should have happened in V1 and not in V5.
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