信号选择测向的研究进展

S. V. Schell, W. Gardner
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引用次数: 32

摘要

最近发现的使用天线阵列的窄带信号选择性测向的循环MUSIC算法,通过利用期望信号的已知频谱相关特性(即已知的周期频率,如波特率或载波频率)来拒绝不希望的信号、干扰和噪声,从而规避了传统技术的许多缺点。本文描述了循环MUSIC性能的两个最新进展。第一种方法使Cyclic MUSIC能够同时估计具有不同周期频率的信号的到达方向,而不必在周期频率列表中依次处理每个单独的频率(无论是已知的先验还是测量的)。第二步通过估计二次再生正弦波的频率,然后将该估计值作为循环自相关矩阵计算中的周期频率参数,然后对循环自相关矩阵进行处理,以估计到达的方向,从而降低了循环MUSIC对周期频率知识误差的敏感性
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Progress on signal-selective direction finding
The recently discovered Cyclic MUSIC algorithm for narrowband signal-selective direction finding using antenna arrays circumvents many drawbacks of conventional techniques by exploiting known spectral correlation properties (namely known cycle frequencies such as the baud rate or carrier frequency) of the desired signals to reject undesired signals, interference, and noise. Two recent advances in the capabilities of Cyclic MUSIC are described. The first enables Cyclic MUSIC to simultaneously estimate the directions of arrival of signals having different cycle frequencies instead of having to sequentially process each separate frequency in a list of cycle frequencies (either known a priori or measured). The second advance reduces the sensitivity of Cyclic MUSIC to error in the knowledge of the cycle frequency of interest by estimating the frequency of a quadratically-regenerated sine wave and then using that estimate as the cycle frequency parameter in the computation of the cyclic autocorrelation matrix, which is then processed to estimate the directions of arrival.<>
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