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XIE Min, HUANG Jie, ZHAO Chuang, et al. Radar signal deinterleaving method against counterreconnaissance deception jamming[J]. Journal of Radars, in press. doi: 10.12000/JR25170
Citation: XIE Min, HUANG Jie, ZHAO Chuang, et al. Radar signal deinterleaving method against counterreconnaissance deception jamming[J]. Journal of Radars, in press. doi: 10.12000/JR25170

Radar Signal Deinterleaving Method Against Counterreconnaissance Deception Jamming

DOI: 10.12000/JR25170 CSTR: 32380.14.J25170
Funds:  The National Natural Science Foundation of China (62071490), Henan Province Science and Technology Key Project (242102211108)
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  • Corresponding author: HUANG Jie, hj_xdmb@163.com
  • Received Date: 2025-09-08
  • Rev Recd Date: 2026-03-04
  • Available Online: 2026-03-13
  • Radar signal deinterleaving is a critical technology in electronic intelligence and electronic support measures systems. The classical histogram-based method, although valued for its simplicity, is susceptible to deceptive jamming under counter-reconnaissance parameter design. This study proposes a deinterleaving method that is resistant to such deception. The main contributions are as follows: a frame period detection mechanism compatible with pulse missing rates from 0% to 50% is established through theoretical derivation; by integrating autocorrelation and the overlap rate, accurate frame period identification is achieved, which effectively distinguishes interference disguised as fixed Pulse Repetition Intervals (PRI) and prevents interference with the deinterleaving process; moreover, a coherent discrimination mechanism is introduced to handle scenarios with similar parameters and to accommodate fixed, staggered, sliding, and wobulated PRI modulation—within a unified framework. Experimental results show that the performance of histogram-based methods degrades severely in the presence of counterreconnaissance parameters, with maximum performance dropping to 0, while the proposed method maintains a minimum performance of 96.5%. Meanwhile, the proposed method reaches a minimum performance of 95.31% in parameter-similar scenarios. The proposed method remains effective against the four modulation types, whether counterreconnaissance parameters are present or not. It demonstrates antideception capability against counterreconnaissance design, strong generalization across modulation types, and reliable performance in parameter-similar scenarios, thereby greatly improving the deinterleaving reliability in complex electromagnetic environments and offering important implications for the development of electronic warfare systems.

     

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