Abstract
Through partial intercepting and multiple forwarding of a radar transmitting signal, Digital Radio Frequency Memory (DRFM)-based Interrupted Sampling Repeater Jamming (ISRJ) possesses advantages of small size, light weight, and flexibility. Thus, DRFM-ISRJ can be equipped on targets to perform multi-point source main-lobe jamming, posing a serious threat to modern radars. In this study, a time-frequency domain recognition and suppression method was analyzed. First, the expression of pulse compression and Time-Frequency Distribution (TFD) of the jamming signal were deduced. Then, the differences of TFD between target echo and jamming signal were analyzed. On this basis, a jamming recognition program and a time-frequency domain filter to suppress the jamming were proposed. Simulation results show that the recognition rate is better than 90% when the jamming-to-noise ratio is over -3 dB for the received signal. Based on correct recognition, a signal to jamming-and-noise ratio improvement of 18 dB can be achieved using the time-frequency filter.
| Translated title of the contribution | Time-frequency analysis techniques for recognition and suppression of interrupted sampling repeater jamming |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 100-106 |
| Number of pages | 7 |
| Journal | Journal of Radars |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2019 |