Maximum likelihood and signal-selective TDOA estimation for noncircular signals
Maximum likelihood and signal-selective TDOA estimation for noncircular signals
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DOI：
10.1109/jcn.2013.000046
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发表时间：
2013-07
影响因子：
3.6
通讯作者：
Fei Wen;Q. Wan
中科院分区：
文献类型：
--
作者：
Fei Wen;Q. Wan
本文解决了复杂非圆形信号的到达时间差 (TDOA) 估计问题。首先，在广义平稳假设下，我们推导了高斯圆形噪声中高斯非圆形信号的最大似然（ML）估计量和 Cramer-Rao 下界。与互相关(CC)和共轭CC估计器相比，ML估计器更全面地使用非圆形信号的二阶统计信息。此外，我们提出了一种基于人造信号循环平稳性的方案，对非圆形信号的传统信号选择性 TDOA 方法进行了修改。该方案同时利用非循环信号的循环互相关 (CCC) 和共轭 CCC 中包含的信息。
This paper addresses the issue of time-difference-of-arrival (TDOA) estimation for complex noncircular signals. First, under the wide-sense stationary assumption, we derive the maximum likelihood (ML) estimator and the Cramer-Rao lower bound for Gaussian noncircular signals in Gaussian circular noise. The ML estimator uses the second-order statistics information of a noncircular signal more comprehensively when compared with the cross-correlation (CC) and the conjugate CC estimators. Further, we present a scheme to modify the traditional signal-selective TDOA methods for noncircular signals on the basis of the cyclostationarity of man-made signals. This scheme simultaneously exploits the information contained in both the cyclic cross-correlation (CCC) and the conjugate CCC of a noncircular signal.