Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (7): 1614-1622.doi: 10.3969/j.issn.1001-506X.2020.07.25

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Acquisition algorithm of narrowband interference CBOC signal based on DPSCT and spectrum correction

Tianqi ZHANG(), Jiangen ZHAO(), Tian ZHANG(), Congcong FAN()   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2019-09-16 Online:2020-06-30 Published:2020-06-30
  • Supported by:
    国家自然科学基金(61671095);国家自然科学基金(61702065);国家自然科学基金(61701067);国家自然科学基金(61771085);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市研究生科研创新项目(CYS17219);重庆市教育委员会科研项目(KJ1600427);重庆市教育委员会科研项目(KJ1600429)

Abstract:

For the problem of difficulty in accurate acquisition of combined binary offset carrier (CBOC) signals under the narrowband interference environment, a acquisition algorithm is proposed based on frequency domain dual phase shift combination trap (DPSCT) combined with batch processing and spectrum correction. Firstly, the trap is used to suppress narrowband interference at any frequency. Secondly, the processing speed is increased through batch processing. Finally, for the problem that the scallop loss is easy to cause the detection probability to decrease in the process of fast Fourier transform (FFT), a acquisition method based on partially matched filter (PMF) combined with phase difference plus single-point Fourier transform (FT) spectrum correction is proposed.The simulation results show that the algorithm has good performance in waveform recovery and acquisition probability after narrowband interference suppression. When the signal to interference ratio (SIR) is -37 dB, the proposed algorithm has an improvement of 4 dB over the acquisition probability before correction, reducing the acquisition time effectively.

Key words: frequency domain dual phase shift combination trap (DPSCT), batch processing, partially matched filter (PMF), fast Fourier transform (FFT), phase difference plus single-point Fourier transform (FT) spectrum correction

CLC Number: 

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