模糊函数,多项式相位信号和高阶循环平稳性

S. Shamsunder, G. Giannakis
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引用次数: 3

摘要

通过建立经典模糊函数与样本循环互相关之间的关系,表明经典模糊函数在平稳噪声条件下对目标回波的时延和多普勒估计是一致的。提出了一种新的四阶模糊函数,用于估计随机调制多普勒扩频回波的时延和多普勒。研究还表明,当调制过程为零均值时,传统的估计结果不一致。其次,提出了一种利用信号的循环平稳性来估计一般机动目标或源的位置和轨迹的方法。在这种情况下,接收到的信号可以被建模为一个随机振幅多项式相位过程。由于统计框架,所提出的方法也允许多个信号,理论上对任何平稳噪声不敏感,并提供了一个顺序估计过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ambiguity function, polynomial phase signals and higher-order cyclostationarity
By establishing a relationship between the classical ambiguity function and the sample cyclic cross correlation, it is shown that the former provides consistent estimates of delay and Doppler when the target echoes are observed in stationary noise. A novel fourth-order ambiguity function is proposed for estimating the delay and Doppler from random modulated Doppler-spread echoes. It is also shown that the conventional yields inconsistent estimates when the modulating process is zero-mean. Next, a method exploiting cyclostationarity of the signal is proposed for estimating the position and track of a generally maneuvering target or source. The received signal in this case can be modeled as a random amplitude polynomial phase process. Because of the statistical framework, the proposed approach also allows multiple signals, is theoretically insensitive to any stationary noise and provides a sequential estimation procedure.<>
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