Abstract
A detection algorithm and a detector structure based on the time-frequency contrast method are proposed. The analysis of the detection characteristics for the case of a linear detector and distribution of the signal- interference mixture according to the Rayleigh-Rice law is carried out. It is shown that the detector ensures a constant false alarm rate when the interference dispersion is changed. A block diagram of the detector that implements the proposed algorithm is presented. The carried out research shows the expediency of using the method when detecting single radio pulses with an inaccurately known carrier frequency. It is shown that the use of an increased reference sample of interference with N = 1 to N = 5 makes it possible to reduce (at L = 1) the probability of false alarm with \( P_{F} = \, 0.166 \) to \( P_{F} = \, 0.015 \).
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Rumyantsev, K., Zikiy, A., Zlaman, P. (2019). Detection of Signals by the Frequency-Time Contrast Method. In: Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_7
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DOI: https://doi.org/10.1007/978-981-13-3804-5_7
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