基于刚体微运动的弹体自旋多普勒模拟技术
收稿日期: 2014-07-04
修回日期: 2014-09-03
网络出版日期: 2014-09-11
基金资助
新世纪优秀人才支持计划(NCET-08-0144)
Simulation technique of projectile spin Doppler based on micro-motion of a rigid body
Received date: 2014-07-04
Revised date: 2014-09-03
Online published: 2014-09-11
Supported by
Program for New Century Excellent Talents in University (NCET-08-0144)
能够模拟生成高速自旋弹体上终端接收信号多普勒的卫星导航信号模拟系统,可为基于卫星导航系统的低成本弹道修正技术开发提供有效地测试与评估手段。分析指出利用经典分段多项式方法对弹体自旋产生的接收信号多普勒进行模拟时,会出现模拟参数更新周期急剧减小,运算负荷显著增加的不足。针对这一问题,通过引入刚体微运动和微多普勒的概念,提出了基于刚体微运动的弹体自旋多普勒模拟技术,将弹体飞行过程中高速自旋产生的微多普勒特性参数作为模拟参数,有效解决了多普勒模拟参数更新周期减小的问题。仿真结果表明,对自旋频率为100 Hz的飞行弹体自旋多普勒进行模拟生成时,所提方法可在模拟参数更新周期为100 ms时满足误差要求,远优于经典分段多项式方法小于1 ms的要求。
张鑫 , 陈华明 , 牟卫华 , 欧钢 . 基于刚体微运动的弹体自旋多普勒模拟技术[J]. 航空学报, 2015 , 36(7) : 2420 -2430 . DOI: 10.7527/S1000-6893.2014.0210
The satellite navigation signal simulation system, which can simulate the signal Doppler received by terminal in the high-speed projectile spin, can provide effective testing and evaluating method for the development of low-cost trajectory correction projectile technique based on the satellite navigation system. After analysis, it is pointed out that when the projectile spin Doppler of received signal is simulated using classical piecewise polynomial method, the simulation parameters' update period will be dramatically reduced, and the computation load will also be significantly increased. To solve this problem, the concepts of rigid body micro-motion and micro-Doppler are introduced and simulation technique of projectile spin Doppler based on the micro-motion of a rigid body is proposed. By taking the micro-Doppler characteristics parameters, which is produced in the process of high-speed projectile spin flight, as simulation parameters, the problem of the reduction of Doppler simulation parameter's update period can be solved effectively. The simulation results show that while simulating the projectile spin Doppler generated by spin frequency of 100 Hz, the proposed method can satisfy the requirements of spin Doppler simulation error at the update period of simulation parameters of 100 ms, far superior to the classical piecewise polynomial method which needs the requirement of less than 1 ms.
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