高动态DSSS信号的有效参数估计方法

Shuang Wu, W. Cui, Lin Li, Jiangang Hou, J. Tian
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引用次数: 0

摘要

提出了一种基于Keystone变换(KT)、降维和逆Keystone变换(IKT)的高效参数估计方法(DIKT),以抵消长相干积分时间内的高动态效应。该方法首先采用一阶KT对线性码相漂移进行盲校正。然后进行降维,同时导出新的坐标变换IKT。然后利用IKT去除残留的二次码相漂,再进行多普勒速率估计。补偿多普勒速率项后,最后同时估计多普勒频移和初始距离。该方法可以克服不需要目标先验知识的高动态效应。此外,它具有较低的计算复杂度,便于硬件实现和实时处理。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient parameter estimation method for high dynaimc DSSS signal
This paper proposes an efficient parameter estimation method (DIKT) based on Keystone transform (KT), dimension reduction and inverse Keystone transform (IKT) to counteract the high dynamic effects over a long coherent integration time. In this method, first-order KT is first applied to blindly correct the linear code phase drift. Then, dimension reduction is carried out meanwhile a new coordinate transformation, named IKT, is derived. After that, IKT is employed to remove the residual quadratic code phase drift, followed by Doppler rate estimation. After compensating the Doppler rate term, Doppler shift and initial range are finally estimated simultaneously. The proposed method can overcome high dynamic effects without prior-knowledge of the target. Furthermore, it has low computational complexity, making it easy for the hardware implement and real-time processing. Simulation results verify the effectiveness of the proposed method.
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