集中式组网雷达的假目标欺骗干扰优化方法

针对组网雷达系统综合抗干扰能力强的问题,在集中式融合结构组网雷达背景下提出了一种假目标欺骗干扰优化方法。首先，建立了组网雷达跟踪目标的状态和量测模型,以及假目标距离和速度欺骗干扰模型,进而建立了量测偏差模型。然后，在此基础上,分别研究了单次和持续假目标欺骗干扰对组网雷达融合中心的卡尔曼滤波状态估计误差的影响。最后，通过分析假目标欺骗干扰的约束条件,提出了假目标欺骗干扰目标函数最优化的问题,并基于模拟退火算法进行了求解。仿真结果验证了假目标欺骗干扰引起的状态估计误差的表达式,以及本文方法的有效性。

False target deception jamming optimized method for centralized netted radar

For the problem of strong anti-jamming ability of the netted radar system, a false target deception jamming optimized method is proposed in the context of the netted radar with a centralized fusion structure. First, the state and measurement model of the target of the netted radar, and the false target distance and velocity deception jamming model are established, and then the measurement deviation model is established. Next, based on this, the influence of the single and continuous false target deception jamming against the Kalman filtering state estimation error of the netted radar fusion center is studied respectively. Finally, by analyzing the false target deception jamming constraints, the optimization problem of the false target deception jamming objective function is proposed, which is solved based on the simulated annealing arithmetic. Simulation results verify the state estimation error expression caused by the false target deception jamming and the effectiveness of the proposed method.