ZPW-2000 frequency-shift signal detection algorithm based on nonlinear least squares method

• DOI: 10.1088/1402-4896/ad1fb8
• Publication Date: 2024-01-29T14:20:46Z
• Authors: Guanggang Ji; Mingyang Shan; Zheng Li; Hongkai Wang
• Keywords: SIGNAL (programming language); Least-squares function approximation; Frequency shift

Abstract Aiming at the problems of spectrum leakage, difficulty in guaranteeing demodulation accuracy, and endangering driving safety signal detection algorithm based on periodogram with limited sampling duration, this paper proposes for first time a kind ZPW-20000 frequency-shift nonlinear least squares, so as to improve performance ZPW-2000 signal, ensure safe operation trains, operational efficiency. The mathematical model is established, Cramér-Rao bound (CRB) carrier-frequency low-frequency estimation are derived, squares containing three processes, namely, coarse estimation, grid search Fast Fourier Transform (FFT), exact search, designed, which applied signal. research results show that accuracy proposed better than method different durations, number decoding errors reduced zero when durations greater or equal 0.11 s 0.19 s, respectively, reduces limitation durations. As signal-to-noise ratio (SNR) increases, root mean square error (RMSE) can approach CRB. SNR −2 dB, zero, while requires 2 dB achieve same effect. performs well real-time anti-interference ability, great significance ensuring improving reliability vehicle-ground communication mode track circuit.