• Laser & Optoelectronics Progress
  • Vol. 59, Issue 11, 1107002 (2022)
Yue Xiao, Zhenbin Gao*, and Zihang Zhao
Author Affiliations
  • School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • show less
    DOI: 10.3788/LOP202259.1107002 Cite this Article Set citation alerts
    Yue Xiao, Zhenbin Gao, Zihang Zhao. Design and Performance Analysis of a Compound Modulated Radar Signal[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1107002 Copy Citation Text show less
    Autocorrelation function of Costas signal
    Fig. 1. Autocorrelation function of Costas signal
    Power spectral density of Costas signal(Δf=1 MHz)
    Fig. 2. Power spectral density of Costas signal(Δf=1 MHz)
    Power spectral density of Costas signal(Δf=16 MHz)
    Fig. 3. Power spectral density of Costas signal(Δf=16 MHz)
    Influence of bandwidth of Costas signal on peak power
    Fig. 4. Influence of bandwidth of Costas signal on peak power
    Construction of Costas/CTPC composite signal
    Fig. 5. Construction of Costas/CTPC composite signal
    Influence of initial value and frequency interval on peak side lobe level of COSTAS/CTPC signal
    Fig. 6. Influence of initial value and frequency interval on peak side lobe level of COSTAS/CTPC signal
    Autocorrelation function of Costas/CTPC signal
    Fig. 7. Autocorrelation function of Costas/CTPC signal
    Cross-correlation function of Costas/CTPC signal
    Fig. 8. Cross-correlation function of Costas/CTPC signal
    Power spectrum of Costas/CTPC signal
    Fig. 9. Power spectrum of Costas/CTPC signal
    Ambiguity function of Costas/CTPC signal
    Fig. 10. Ambiguity function of Costas/CTPC signal
    SignalPSL /dBISL /dB
    Costas/CTPC-43.47-33.21
    Costas/Bark-13.06-8.20
    LFM/Bark-14.3-10.67
    Costas/LFM-14.2-10.12
    Table 1. Comparison of autocorrelation functions of four signals
    Yue Xiao, Zhenbin Gao, Zihang Zhao. Design and Performance Analysis of a Compound Modulated Radar Signal[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1107002
    Download Citation