Abstract

We address the suppressing problem of smeared spectrum (SMSP) jamming from the mixed signal received by the radar. To this end, we resort to the time-frequency analysis algorithm and give the concrete expression formula of the short-time Fourier transform (STFT) of SMSP jamming. The proposed method is to estimate the parameters of the jamming signal based on the STFT result, and then the jamming signal is reconstructed and suppressed form the mixed signal. In order to perform effective interference even after the pulse compression process, the jamming-to-target ratio (JSR) is always positive. Based on this assumption, the estimation steps for different parameters of SMSP jamming are given, including the number of sub-waveforms, the amplitude, and the time delay. The influence of choosing different window is also considered in this paper. The estimated performance of this method is verified by Monte Carlo simulation, and the results show the effectiveness of the proposed method.

Highlights

  • For a long time, the linear frequency modulation (LFM) signal plays a vital role in modern radar system

  • Motivated by the huge difference between smeared spectrum (SMSP) jamming and target echo in timefrequency domain, we propose a parameter estimation method based on short-time Fourier transform (STFT)

  • We focus on analyzing the STFT result of the mixed signal and use it to estimate all parameters of jamming signal

Read more

Summary

Introduction

The linear frequency modulation (LFM) signal plays a vital role in modern radar system. As a kind of pulse compressed signal, it is insensitive to Doppler shift and has a low probability of being intercepted. In order to counter this kind of signals, Sparrow and Cikalo [1] proposed a new interfere strategy in 2006, which is named smeared spectrum (SMSP) jamming. The incoming signal is compressed in time domain, and repeated for several times to maintain the time width of signal unchanged. The SMSP jamming has high similarity to target echo, and could form a large number of false targets with a shape of comb after pulse compression processing. It makes it difficult for radar to detect true targets and even makes the radar system ineffective

Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.