TY - GEN
T1 - Hopped-frequency waveform design for optimal detection in spectral congested environment
AU - Zhao, Dehua
AU - Wei, Yinsheng
AU - Liu, Yongtan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/3
Y1 - 2016/6/3
N2 - In this paper, we suggest the hopper-frequency (HopF) waveform for cognitive probing in spectral congested environment. Similar with stepped-frequency (SF) waveform, HopF waveform is very easy for implementation and processing. Besides, it also has the necessary degree of freedom (DOF) to achieve high spectrum efficiency and to suppress range sidelobes, thanks to its very flexible carriers. In this paper, echo of HopF waveform is analyzed and the associated signal-To-noise ratio (SNR) gain and correlation output under different filtering schemes are deduced under assumption that the interference spectrum is known. The cognition of HopF waveform is then achieved by optimizing the range correlation sidelobes with SNR constraint. Design examples and simulated processing results are reported to validate the proposed approach and illustrate how the HopF waveforms work in spectral congested environment.
AB - In this paper, we suggest the hopper-frequency (HopF) waveform for cognitive probing in spectral congested environment. Similar with stepped-frequency (SF) waveform, HopF waveform is very easy for implementation and processing. Besides, it also has the necessary degree of freedom (DOF) to achieve high spectrum efficiency and to suppress range sidelobes, thanks to its very flexible carriers. In this paper, echo of HopF waveform is analyzed and the associated signal-To-noise ratio (SNR) gain and correlation output under different filtering schemes are deduced under assumption that the interference spectrum is known. The cognition of HopF waveform is then achieved by optimizing the range correlation sidelobes with SNR constraint. Design examples and simulated processing results are reported to validate the proposed approach and illustrate how the HopF waveforms work in spectral congested environment.
KW - cognitive waveform
KW - correlation sidelobes
KW - hopped-frequency (HopF) waveform
KW - range peak sidelobe level (PSLL)
KW - signal-To-noise ratio (SNR) gain
UR - https://www.scopus.com/pages/publications/84978285823
U2 - 10.1109/RADAR.2016.7485089
DO - 10.1109/RADAR.2016.7485089
M3 - 会议稿件
AN - SCOPUS:84978285823
T3 - 2016 IEEE Radar Conference, RadarConf 2016
BT - 2016 IEEE Radar Conference, RadarConf 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Radar Conference, RadarConf 2016
Y2 - 2 May 2016 through 6 May 2016
ER -