摘要
Electromagnetic waves are transmitted by radars and reflected by different objects, and radar signal processing is highly significant as its analyses can lead to the acquisition of important information such as the situation and radial movement speed. Moreover, deep learning has gained much attention in several fields, and it can be utilized to implement radar signal processing. Compared with the traditional methods, deep learning can realize automatic feature extraction and yield highly accurate results; hence, in this paper, the application of deep learning algorithm in radar signal processing is studied. In addition, the study directions in radar signal processing are summarized into overfitting and interpretation. Thus, these two issues are being considered.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 395-411 |
| 页数 | 17 |
| 期刊 | Journal of Radars |
| 卷 | 7 |
| 期 | 4 |
| DOI | |
| 出版状态 | 已出版 - 28 8月 2018 |
学术指纹
探究 'Study on deep learning in radar' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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