基于辐射能量缩减约束的双机雷达协同目标跟踪方法

辐射能量减缩是提高机载雷达射频隐身性能的有效途径。针对目标跟踪过程中辐射能量的减缩量约束, 首先通过分析双机雷达协同的目标回波信噪比, 分别从双机与目标距离比和目标雷达散射截面积推导了其对雷达总辐射能量减缩值的贡献; 然后针对雷达目标跟踪过程中的采样间隔算法, 分析了基于滤波残差的递推法与其他两种方法的目标跟踪精度与仿真计算效率; 最后利用交互式多模型卡尔曼滤波算法与基于滤波残差的递推采样间隔法仿真, 验证了目标跟踪过程中双机雷达辐射能量的减缩量, 并仿真了有源无源协同目标跟踪对双机雷达总辐射能量减缩值的贡献。实验结果表明,本文设计的跟踪策略具有更佳的隐身性能。

Dual airborne radar joint target tracking method based on constraint of radiant energy reduction

Radiant energy reduction is an efficient method to improve the radio frequency stealth performance of airborne radar. Aiming at the constraint of radiant energy reduction in target tracking. Firstly, by means of analyzing the target echo signal to noise ratio (SNR) of dual airborne radar system, the contribution to the total radar radiant energy is derived from the distance ratio between dual radar and the target and target radar cross section, respectively. Then, for the sampling interval algorithms in radar target tracking, the recursive method based on filter residual is pointed. And the tracking accuracy and computational efficiency of simulation are analyzed and compared to the other two algorithms. Finally, the reduction of radiant energy of dual radar is verified while tracking a target, using the interacting multiple mode Kalman filter (IMMKF) algorithm and the recursive method based on filter residual. And the simulation results prove the contribution to the total radar radiant energy reduction of dual radar, utilizing the active and passive joint target tracking system. Experiment results show that the target tracking strategy involved in this paper has better stealth performance frequency.