Digital channelization technology is often used for broadband electromagnetic signal reception. When its analysis filter banks and comprehensive filter banks have precise reconstruction characteristics,accurate reconstruction of the received signal can be achieved. For the electromagnetic spectrum recognition problem in the field of complex electromagnetic environment perception,it is necessary to accurately restore the electromagnetic signal received by the receiver and perform spectrum recognition based on the accurately restored signal. The article proposes an intelligent electromagnetic spectrum recognition technology based on precise reconstruction of digital channelization. Firstly, a digital channelized receiver structure that can achieve precise signal reconstruction is constructed. Then,wavelet analysis is used to construct a time-frequency waterfall diagram of the signal,and artificial intelligence processing is performed based on this graph to achieve electromagnetic spectrum recognition. Finally,simulation results are provided. The simulation results in the article demonstrate the correctness and effectiveness of the method.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |