Parameter Estimation of LFM Signal in Low Signal-to-Noise Ratio Using Cross-Correlation Function

Minh Van Duong, Jiri Vesely, Petr Hubacek, Premysl Janu, Phan Nhat Giang

Parameter Estimation of LFM Signal in Low Signal-to-Noise Ratio Using Cross-Correlation Function

Číslo: 3/2021
Periodikum: Advances in Electrical and Electronic Engineering
DOI: 10.15598/aeee.v19i3.4071

Klíčová slova: Auto-correlation function; cross-correlation function; Fast Fourier Transform; linear frequency modulation; short-time Fourier transform; signal-to-noise ratio.

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Anotace: The pulse with intra-pulse modulation plays an important role in the design of radar systems. The first class of the signals type is the linear frequency modulation technique. The linear frequency modulation is used to resolve range resolution problems. This paper provides a new algorithm for detecting linear frequency modulation signals at a low signal-to-noise ratio. The core idea of the proposed method is firstly to analyse the linear frequency modulation signals via Fast Fourier Transform; and then to accumulate all energy to achieve signal detection using cross-correlation methods. The proposed algorithm showed better results in comparison with current algorithms, which are used to estimate the parameters of the linear frequency modulation signals at a low signal-to-noise ratio.