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针对航天测控DOR(差分单向测距)信标信号等侧音信号的滤波问题,借鉴扩频系统窄带干扰抑制领域中的SUWPT(频移非抽取小波包变换),提出了一种逆向算法。该算法通过最佳频移将信号移至各子带中间,然后选择能量较大的子带进行分解,通过记录的位置信息选择不同的重构滤波器,从而达到最佳滤波效果;最后将该滤波算法应用于航天测控侧音信号的差分相位提取过程。仿真结果表明,该算法比小波变换滤波、小波包滤波具有更好的滤波性能;滤波后差分相位提取精度相对滤波前提高3~4倍,有利于提高系统的测量精度。
Aiming at the filtering problem of side-tone signals such as space-based DOR (Differential One-Way Ranging) beacon signals, a reverse algorithm is proposed based on the SUWPT (Frequency Shift Unsupervised Wavelet Packet Transform) in the field of narrow-band interference suppression in spread spectrum systems. The algorithm shifts the signal to the middle of each sub-band through the best frequency shift, then selects the sub-band with larger energy to decompose, and selects the different reconstruction filter through the recorded position information to achieve the best filtering effect. Finally, The filtering algorithm is applied to the differential phase extraction process of side-tone signals in space flight measurement and control. The simulation results show that the proposed algorithm has better filtering performance than wavelet transform and wavelet packet filtering. The accuracy of the filtered differential phase extraction is improved by 3 ~ 4 times compared with that before filtering, which is beneficial to improve the measurement accuracy of the system.