Details

Autor(en) / Beteiligte

• Jining Feng
• Xiaobo Yang
• Jun Wang

Titel

Novel LFM Jammer Suppression Algorithm for DSSS in FRFT Domain

Ist Teil von

• 北京理工大学学报（英文版）, 2019-12, Vol.28 (4), p.783-789

Ort / Verlag

School of Technology, Hebei Normal University, Shijiazhuang 050031, China%Department of Electronic Engineering, Shijiazhuang Vocational and Technical College, Shijiazhuang 050081, China%School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• TN967.1; A novel algorithm is proposed to resolve the defects in the traditional linear frequency modulation (LFM) jamming suppression algorithm in the fractional Fourier transform (FRFT) domain.The traditional LFM jamming suppression algorithm in the FRFT domain has some defects.For example,the exact threshold is difficult to set and both the signal-to-noise ratio (SNR) loss and spectrum leakage are serious in strong jamming-to-signal ratio (JSR) situations.Windowing,overlapping and inverse windowing techniques are used in the FRFT domain to reduce the spectrum leakage and the SNR loss.Under the condition that only the direct sequence spread spectrum (DSSS) signal and white Gaussian noise are present,the amplitude of the received signal after FRFT is assumed to be Rayleigh distributed.Based on the distribution characteristic,hypothesis testing is used to suppress the jamming spectrum using the algorithm.Simulation results show that the performance of proposed algorithm is better than that of the conventional algorithms,especially in a strong jamming and multi component LFM jamming environment.