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机构地区:[1]北京跟踪与通信技术研究所,北京100094 [2]清华大学电子工程系,北京100084
出 处:《西安交通大学学报》2013年第6期124-129,136,共7页Journal of Xi'an Jiaotong University
基 金:国家自然科学基金资助项目(61101070);总装备部预先研究资助项目
摘 要:针对航天测控和卫星导航领域中高动态信号测量的基带信号成形问题,提出一种改进的信号重采样滤波算法。该算法利用截短升余弦内插滤波器设计实现数字扩频信号的连续序列恢复,通过构建频谱自适应的分段抛物线内插函数滤波器实现基带信号的动态重采样处理,并采用Far-row结构降低成形滤波算法的运算量。仿真验证和实验测试结果表明,采用该算法设计的成形滤波器能够较好地适应动态多普勒频移,将基带伪码相位抖动导致的测量误差从亚米级降低至毫米级,有效抑制信号带外功率,为改善导弹航天试验靶场高动态信号的测量精度和稳定性提供了一种有效途径。An improved re-sampling filtering algorithm is proposed to deal with the digital base-band shaping filter,which is applied in the highly dynamic signal measurement of aerospace TTC(Track,Telemetry and Control) and satellite navigation systems.The design of truncated raise cosine filter is conducted to restore the continuous sequence of digital spread-spectrum signals.A spectrum adaptive piecewise parabola interpolation filter is constructed to carry out the signal dynamic re-sampling,and the Farrow implementation structure is adopted to reduce the calculation cost of the shaping filter.Simulation and experimental results show that the proposed shaping filter successfully adapts to Doppler frequency shifts,reduces the base-band signal phase jitter error from decimeter scale to millimeter scale,and effectively suppresses signal's out-band power.The proposed algorithm gives a way to improve the overall precision and steadiness of highly dynamic satellite signal measurement in missile and aerospace range.
关 键 词:航天测控 信号成形滤波器 高动态测量 重采样滤波
分 类 号:V556.1[航空宇航科学与技术—人机与环境工程]
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