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| An Identification Algorithm of Passive Millimeter Wave Detection Armored Targets Based on Signal Complexity |
| Jianli Feng, Xiaomin Zhang |
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Abstract In the past, there had been a higher error recognition rate when
using passive millimeter wave technology identified armored targets.
In order to solve this problem, proposed a recognition method for
armored targets based on signal complexity. Started from the passive
millimeter wave radiation mechanism of armored targets, presented a
concept, which named as signal complexity, analyzed the signal
complexity of armored targets, and got its' recognition algorithm.
Simulation results show that it not only ensures the correct
recognition rate of armored targets, but also greatly reduces the
probability of mistakenly identified the interference target (such
as planer metal and ground water) as an armored target.
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| DOI:10.12733/jics20105676 |
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