| 摘要: |
| 空时自适应处理（STAP）技术具有优越的杂波抑制性能和抗干扰能力，对其开展干扰研究十分必要。首先介绍了STAP的基本原理，然后基于周期方波卷积干扰和移频干扰的原理和特点，提出了一种移频灵巧噪声干扰新方法，并阐述了该方法对目标检测的干扰作用机理。该方法先将截获的雷达信号移频处理，再与周期方波卷积，并对周期方波的各项参数进行调整，可产生不同的干扰效果。理论分析表明：该方法可产生大量的数量可控、位置可调、幅度可变的假目标信号，根据假目标数量的不同，可分别实现欺骗干扰和压制干扰，能够构造非均匀环境，大大降低STAP处理器的性能。最后通过Matlab仿真验证了理论分析的正确性和干扰方法的有效性。 |
| 关键词: 空时自适应处理 灵巧噪声干扰 周期方波卷积调制 移频干扰 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.03.010 |
| 分类号:TN972 |
| 基金项目:国家自然科学基金（No.61805189） |
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| Research on Frequency-Shift Smart Noise Interference of STAP Technology |
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QIN Zhaorui, DONG Chunxi
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1. School of Electronic Engineering, Xidian University, Xi’an 710071, China;2. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, China
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| Abstract: |
| Space-time adaptive processing (STAP) technology has superior clutter suppression performance and anti-interference ability, so it is necessary to carry out interference research. Firstly, the basic principle of STAP is introduced. Secondly, by combining the principle and characteristics of periodic square wave convolution interference and frequency shift interference, a new method called frequency-shift smart noise interference is proposed, and the mechanism of the interference effect of the method on target detection is expounded. The method shifts the frequency of the intercepted radar signal and then convolves it against the periodic square wave. At this time, we can get different interference effects, if the parameters of the periodic square wave are adjusted. Theoretical analysis shows that this method can generate a large quantity of false target signals with controllable number, adjustable position and variable amplitude. By adjusting the number of false targets, it can generate deception interference or suppression interference respectively, construct a nonuniform environment and greatly reduce STAP processor performance. Finally, the correctness of the theoretical analysis and the effectiveness of the interference method are verified by Matlab simulation. |
| Key words: space-time adaptive processing smart noise interference periodic square wave convolution modulation frequency shift interference |
