Remote Sensing (Feb 2023)

Weak Signal Processing Method for Moving Target of GNSS-S Radar Based on Amplitude and Phase Self-Correction

  • Wenning Gao,
  • Fuzhan Yue,
  • Zhenghuan Xia,
  • Xin Liu,
  • Chuang Zhang,
  • Zongqiang Liu,
  • Shichao Jin,
  • Yao Zhang,
  • Zhilong Zhao,
  • Tao Zhang,
  • Ying Zhang

DOI
https://doi.org/10.3390/rs15040969
Journal volume & issue
Vol. 15, no. 4
p. 969

Abstract

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Navigation satellite signals have the advantages of all-day, all-weather, and global coverage, and the use of navigation signals for the detection of moving targets has significant application prospects. However, the GNSS signal is very weak, and the signal power is greatly attenuated after being scattered by the target. In order to detect the echo signal, a long integration time is required. However, the movement of the target will cause the echo signal to produce unpredictable range migration and a Doppler frequency shift, which will weaken the cumulative effect of long-term integration. This paper proposes a weak signal processing method with amplitude and phase self-correction for moving target detection in the GNSS-S radar. First, the phase consistency of the echoes of a single GNSS satellite is realized by the block expansion compression and phase differential correction method to improve the coherent accumulation gain; then, multi-star joint accumulation is carried out after the signal amplitudes of multiple satellites are corrected by the improved keystone method, so as to obtain a stable echo signal track. This method can effectively improve the integral gain of the scattering signal of the moving target and realize target detection. The simulation results and field tests show that this method can effectively improve the SNR of the GNSS-S signal and can realize the detection of small moving targets such as cars with GNSS-S radar.

Keywords