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Performance of Deconvolution Methods in Estimating CBOC-Modulated Signals

机译:去卷积方法在估计CBOC调制信号中的性能

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Multipath propagation is one of the most difficult error sources to compensate in global navigation satellite systems due to its environment-specific nature. In order to gain a better understanding of its impact on the received signal, the establishment of a theoretical performance limit can be of great assistance. In this paper, we derive the Cramer Rao lower bounds (CRLBs), where in one case, the unknown parameter vector corresponds to any of the three multipath signal parameters of carrier phase, code delay, and amplitude, and in the second case, all possible combinations of joint parameter estimation are considered. Furthermore, we study how various channel parameters affect the computed CRLBs, and we use these bounds to compare the performance of three deconvolution methods: least squares, minimum mean square error, and projection onto convex space. In all our simulations, we employ CBOC modulation, which is the one selected for future Galileo E1 signals.
机译:由于其特定于环境的特性,多径传播是在全球导航卫星系统中最难补偿的误差源之一。为了更好地了解其对接收信号的影响,建立理论性能极限可能会有很大帮助。在本文中,我们推导了Cramer Rao下界(CRLB),在一种情况下,未知参数向量对应于载波相位,码延迟和幅度的三个多径信号参数中的任何一个,在第二种情况下,全部考虑联合参数估计的可能组合。此外,我们研究了各种信道参数如何影响计算出的CRLB,并使用这些界限来比较三种反卷积方法的性能:最小二乘,最小均方误差和在凸空间上的投影。在所有模拟中,我们都采用CBOC调制,这是将来伽利略E1信号选择的一种。

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