间断采样导致末敏弹大范围扫描盲区的消减对策

为消减末敏弹在间断采样模式下搜索目标导致的大范围盲区现象，通过建立间断采样模式下扫描点的分布模型与案例演示分析该现象的成因：离散标准化极角的周期性重复或小幅递进。基于此规律，通过理论推导分别分析研究无伞无翼末敏弹、有伞或有翼末敏弹大范围盲区现象的几何特征与形成条件，并通过试验数据验证该现象的工程意义；根据该现象的形成条件，提出削减扫描盲区的小采样时间间隔、大敏感器视场角对策和随机采样时间间隔对策，进行仿真评估。结果表明：随机采样时间间隔对策可在基本保持原有硬件方案前提下，有效降低盲区半径，具有技术可行性和较高的效费比。

Countermeasure to Reduce the Large Scanning Blind Area of Terminal Sensitive Projectile Caused by Interval Sampling

For reducing the phenomenon of large searching blind area of terminal sensitive projectile in interval sampling mode, the reason of this phenomenon is analyzed through establishing a scanning point distribution model in interval sampling mode and example demonstrating, which is caused by the periodic repetition or small increment of discrete normalized polar angle. Based on this rule, the geometric features and forming conditions of large blind area phenomena of terminal sensitive projectile without parachute and wing and terminal sensitive projectile with parachute or wings, respectively, are studied and analyzed through theoretical derivation, and the engineering significance of this phenomenon is verified by using experimental data. The small sampling time interval/large sensing device’s field of view countermeasure and the random sampling time interval countermeasure to reduce the scanning blind area are presented based on the forming condition of this phenomenon. They were simulated and evaluated. The result shows that the countermeasure of random sampling can reduces the blind area radius effectively in the precondition of maintaining original hardware scheme, and has technical feasibility and high cost-effectiveness.