Band pass filter design against interrupted-sampling repeater jamming based on time-frequency analysis

The interrupted-sampling repeater jamming (ISRJ) is coherent with an emitted signal, and significantly limits radar's ability to detect, track and recognise targets. This study focuses on the research of ISRJ suppression for linear frequency modulation radars. A new band pass filter design meth...

Full description

Saved in:
Bibliographic Details
Published inIET radar, sonar & navigation Vol. 13; no. 10; pp. 1646 - 1654
Main Authors Chen, Jian, Wu, Wenzhen, Xu, Shiyou, Chen, Zengping, Zou, Jiangwei
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 01.10.2019
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The interrupted-sampling repeater jamming (ISRJ) is coherent with an emitted signal, and significantly limits radar's ability to detect, track and recognise targets. This study focuses on the research of ISRJ suppression for linear frequency modulation radars. A new band pass filter design method based on time frequency (TF) analysis is proposed. A function named ‘max-TF’ is constructed from the TF energy distribution of the de-chirped signal, reflecting the changes of the maximum signal component amplitude with respect to time. Based on the ‘max-TF’ function, jamming-free signal segments are automatically and accurately extracted to generate the filter, which is smoothed subsequently. After filtering, jamming signal peaks in pulse compression results are suppressed while real targets are retained simultaneously. Comparing with the state-of-the-art filtering method, the proposed method has improved jamming suppression ability and extended the feasible scope of signal-to-noise ratio and jamming-to-signal ratio conditions. Simulations have validated the improvements and demonstrated how the parameters affect performance. The average signal to jamming improvement and average radar detection rate of the proposed method is about 7.4 dB and 23% higher than those of the state-of-the-art filtering method, respectively. The direction of further works is inferred.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2018.5658