Unknown

Dataset Information

0

A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.


ABSTRACT: In the increasingly complex electromagnetic environment of modern battlefields, how to quickly and accurately identify radar signals is a hotspot in the field of electronic countermeasures. In this paper, USRP N210, USRP-LW N210, and other general software radio peripherals are used to simulate the transmitting and receiving process of radar signals, and a total of 8 radar signals, namely, Barker, Frank, chaotic, P1, P2, P3, P4, and OFDM, are produced. The signal obtains time-frequency images (TFIs) through the Choi-Williams distribution function (CWD). According to the characteristics of the radar signal TFI, a global feature balance extraction module (GFBE) is designed. Then, a new IIF-Net convolutional neural network with fewer network parameters and less computation cost has been proposed. The signal-to-noise ratio (SNR) range is -10 to 6?dB in the experiments. The experiments show that when the SNR is higher than -2?dB, the signal recognition rate of IIF-Net is as high as 99.74%, and the signal recognition accuracy is still 92.36% when the SNR is -10?dB. Compared with other methods, IIF-Net has higher recognition rate and better robustness under low SNR.

SUBMITTER: Li J 

PROVIDER: S-EPMC7474755 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.

Li Ji J   Zhang Huiqiang H   Ou Jianping J   Wang Wei W  

Computational intelligence and neuroscience 20200828


In the increasingly complex electromagnetic environment of modern battlefields, how to quickly and accurately identify radar signals is a hotspot in the field of electronic countermeasures. In this paper, USRP N210, USRP-LW N210, and other general software radio peripherals are used to simulate the transmitting and receiving process of radar signals, and a total of 8 radar signals, namely, Barker, Frank, chaotic, P1, P2, P3, P4, and OFDM, are produced. The signal obtains time-frequency images (T  ...[more]

Similar Datasets

| S-EPMC7368189 | biostudies-literature
| S-EPMC6592546 | biostudies-literature
| S-EPMC7521829 | biostudies-literature
| S-EPMC8481123 | biostudies-literature
| S-EPMC6263408 | biostudies-other
| S-EPMC10386750 | biostudies-literature
| S-EPMC9672125 | biostudies-literature
2020-12-31 | GSE158699 | GEO
2020-08-12 | GSE149225 | GEO
| S-EPMC6400960 | biostudies-literature