Parameter Estimation for Interrupted Sampling Repeater Jamming Based on ADMM

Sensors

Daiyin Zhu¹  Wanwan Hu¹  Zhe Geng¹  Jindong Zhang¹  Chaoyu Wang² 

[1] Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;Nanjing Marine Radar Institute, China Shipbuilding Industry Corporation, Nanjing 211100, China;

关键词: interrupted sampling repeater jamming (ISRJ);    nonlinear integer optimization model;    windowed vector;    alternating direction method of multipliers (ADMM);   

DOI  :  10.3390/s21248277

来源: DOAJ

【 摘 要 】

By repeatedly sampling, storing, and retransmitting parts of the radar signal, interrupted sampling repeater jamming (ISRJ) based on digital radio frequency memory (DRFM) can produce a train of secondary false targets symmetrical to the main false target, threatening to mislead or deceive the victim radar system. This paper proposes a computationally-effective method to estimating the parameters for ISRJ by resorting to the framework of alternating direction method of multipliers (ADMM). Firstly, the analytical form of pulse compression is derived. Then, for the purpose of estimating the parameters of ISRJ, the original problem is transformed into a nonlinear integer optimization model with respect to a window vector. On this basis, the ADMM is introduced to decompose the nonlinear integer optimization model into a series of sub-problems to estimate the width and number of ISRJ’s sample slices. Finally, the numerical simulation results show that, compared with the traditional time-frequency (TF) method, the proposed method exhibits much better performance in accuracy and stability.

【 授权许可】

Unknown