A simple baseline for signal detection and extraction

Lisheng Su; Hanqing Gu; Weifeng Zhang; Ping Jiang

doi:10.1117/12.3009411

11 October 2023 A simple baseline for signal detection and extraction

Lisheng Su, Hanqing Gu, Weifeng Zhang, Ping Jiang

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129180Y (2023) https://doi.org/10.1117/12.3009411
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

In the context of modern information warfare, wireless communication technology has been widely used. The transmission mode of wireless communication is to use electromagnetic waves in the air to carry out information exchange. Compared with the traditional way of transmitting information through cables, wireless communication has better adaptability, expansibility, and easy maintenance. With the rapid development of wireless communication technology, the number of various electromagnetic equipment is increasing, and the communication signal system and modulation modes are becoming more and more complex and diversified. The overlapping of various electromagnetic signals makes the electromagnetic environment increasingly complicated. It has become a key problem that needs to be solved in the field of communication countermeasures to quickly discover signals from the broadband spectrum and locate important enemy signals through individual recognition, protocol analysis, and other technologies. In this paper, we propose a simple baseline approach for signal detection and extraction. First, we store the received IQ signal in a buffer pool. In order to realize real-time processing for broadband signals, we first perform blind estimation of signal to noise ratio (SNR), and filter out the signals based on the estimated SNR, and then only process the signals whose SNR is greater than a certain threshold. Then we detect the filtered signal by fast Fourier transform and threshold comparison from the frequency domain, and locate the time domain and frequency domain position of the signal. Our experiments demonstrate that our proposed approach can effectively detect the signals in real-time. When the SNR is greater than 3db, the signal detection error is not more than 0.01.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lisheng Su, Hanqing Gu, Weifeng Zhang, and Ping Jiang "A simple baseline for signal detection and extraction", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129180Y (11 October 2023); https://doi.org/10.1117/12.3009411

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KEYWORDS

Signal detection

Signal to noise ratio

Detection and tracking algorithms

Signal processing

Error analysis

Interference (communication)

Tunable filters

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