Abstract
Interrupted sampling repeater jamming (ISRJ) is becoming more widely used in electronic countermeasures (ECM), thanks to the development of digital radio frequency memory (DRFM). Radar electronic counter-countermeasure (ECCM) is much more difficult when the jamming signal is coherent with the emitted signal. Due to the intermittent transmission feature of ISRJ, the energy accumulation of jamming on the matched filter shows a ‘ladder’ characteristic, whereas the real target signal is continuous. As a consequence, the time delay and distribution of the jamming slice can be obtained based on searching the truncated-matched-filter (TMF) matrix. That is composed of pulse compression (PC) results under matched filters with different lengths. Based on the above theory, this paper proposes a truncated matched filter method by the reconstruction of jamming slices to suppress ISRJ of linear frequency modulation (LFM) radars. The numerical simulations indicate the effectiveness of the proposed method and validate the theoretical analysis.
Highlights
In recent years, Digital Radio Frequency Memory (DRFM) has been gaining wide acceptance in the field of electronic countermeasure (ECM) and expanding the potential jamming patterns
According to the retransmitting scheme, interrupted sampling repeater jamming (ISRJ) can be divided as interrupted sampling and direct repeater jamming (ISDRJ) [1], interrupted sampling and periodic repeater jamming (ISPRJ) [3], and interrupted sampling and cyclic repeater jamming (ISCRJ) [4]
Many electronic counter-countermeasure (ECCM) approaches have been proposed against ISRJ
Summary
Digital Radio Frequency Memory (DRFM) has been gaining wide acceptance in the field of electronic countermeasure (ECM) and expanding the potential jamming patterns. Method exploited the energy difference to extract signal without jamming and design filters suppressing side lobes. The Sliding-Truncation Matched Filter (STMF) method [22] analyzed the difference between the real target signals and jamming signals in the TF domain. By truncating and sliding the matched filter, the jamming parameters can be extracted and estimated Information entropy is another method to distinguish real target signal and jamming signal. This study creatively proposes a truncated matched filter method based on the reconstruction of jamming slices to improve the ISRJ suppression performance. This method utilizes information from jamming signals, whose amplitude is higher than that of the real target signal.
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