基于数据融合的MIMO雷达抗欺骗干扰算法

An Anti Deceptive Jamming Algorithm For MIMO Radar Based on Data Fusion

  • 摘要: 多输入多输出雷达与传统相控阵雷达不同,可发射多个相关或相互正交信号,因此可获得更优性能。欺骗干扰的功率需求低、干扰效果逼真,需研究针对其的抗干扰技术。MIMO雷达在面临非组网欺骗干扰时,使用多正交信号可导致欺骗式目标散焦,但在高干信比条件下,仍会存在虚警目标。提出了一种基于不同信号对间交叉模糊函数起伏不同的虚警目标消除算法。该算法基于遗传算法产生相互正交的二相编码信号作为发射信号,对不同编码信号的回波图像实施恒虚警检测,通过数据融合,对各图像中检测到的目标作相关处理并完成真假鉴别,彻底消除了雷达受到的欺骗干扰。分析了MIMO雷达面临欺骗干扰时的抗干扰效能。仿真结果证明该算法可有效抑制非组网欺骗干扰,对提高雷达抗干扰效能有重要意义。

     

    Abstract: A Multiple-Input Multiple-Output(MIMO) radar system, unlike traditional phased-array radar, can transmit via its antennas multiple probing signals that are correlated or uncorrelated with each other, therefore can get higher performance. Deceptive jamming requires low power and can get vivid jamming effect, it is necessary to study how to remove effect of such kind of jamming. Orthogonal signals used by MIMO radar can make unnetted deceptive targets unable to focus, but when the Jamming-to-Signal Ratio is high, many flase alarm targets will exist. In order to remove those fake targets, one algorithm based on different cross ambiguity functions of different signal pairs is proposed. Multiple biphase coded signals that are orthogonal with each other are produced through genetic algorithm as signals transmitted, images of echoes of each kind of code is detected with constant false alarm. Through data fusion, targets in images of echoes of all different signals are fused, and are determined whether they are real targets or not, the effect of deceptive jamming on radar is removed completely. Anti-jamming efficiency is analyzed for MIMO radar under deceptive jamming. Simulation result testifies that the algorithm can help MIMO radar remove deceptive jamming completely produced by unnetted jammer, and is valuable for improving the anti-jamming efficiency of radar.

     

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