Abstract

During the study process of electromagnetic wave signal detection method under clutter jamming, the influence of noise and interference are not considered when the current algorithm is used to detect electromagnetic wave signal, thus there is problem of large detection error. An electromagnetic wave signal detection method under clutter jamming based on the improved morphological processing algorithm is proposed. The algorithm first combines mathematical morphology filtering and threshold detection, and detects the characteristic parameters, like electromagnetic wave signal electric field strength, magnetic field intensity, polarization flatness, polarization rotation and vector propagation direction, on the basis of it, distance unit echo of larger amplitude in the detection window is regarded as the target echo to judge, and accurately complete electromagnetic wave signal detection under clutter jamming. The experimental results show that the detection method of electromagnetic wave signal based on the improved morphological processing algorithm has the high accuracy and the noise immunity. The electromagnetic radiation phenomenon in ionosphere is very complex, not only related to fluctuations of the earth's magnetic field, but also related to magnetic storm and particle storm of earth space (1.2.3). Thus, it will produce a lot of electromagnetic disturbance factors, including electromagnetic ion cyclotron waves, whistler waves, plasma layer hiss etc. These clutters influence the transmission of the electromagnetic wave signal seriously, which is easy to cause the failure of electromagnetic wave signal transmission (4.5.6). Therefore, the detection method of the electromagnetic wave signal under the clutter jamming has received a wide attention, and a lot of good methods are also appeared at the same time. At present, the mainstream of electromagnetic wave signal detection methods including electromagnetic wave signal detection method under clutter based on wavelet algorithm, electromagnetic wave signal detection method under clutter based on Bayesian algorithm and electromagnetic wave signal detection method under clutter based on neural network algorithm. Among them, the detection method of electromagnetic wave signal based on wavelet algorithm is often used. However, the influence of noise and interference are not considered when these algorithms are used to detect electromagnetic wave signal, thus there is problem of large detection error. In view of the above problems, an electromagnetic wave signal detection method under clutter jamming based on the improved morphological processing algorithm is proposed. The algorithm has good detection accuracy and strong noise immunity.

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