基于高阶累计量的时延估计研究

Research of time delay estimation based on high-order cumulant

在单站非合作无源定位中,TDOA的获取至为重要。针对传统以信号的二阶统计量为数学工具的TDOA估计存在对加性噪声敏感缺点,提出利用三阶或高阶统计量估计信号TDOA。该方法最大优点是能够有效抑制高斯背景噪声(白噪声和色噪声),适用于低信噪比信号的TDOA估计,最后利用Matlab仿真证明了其有效性。

The obtain of TDOA is critical in SOPLAT. Concerning additive noise shortcomings of TDOA estimation using traditional mathmetical tool of second-order statistics of signals, take advantage of three-order or high-order statistics to estimate the TDOA of signal. The biggest advantage of this method is that it can restrain Gaussian noise （white noise and Colored noises）effectively. Thus it can be applied to TDOA estimation of lower SNR signal. In the end the validity was proved using Matlab simulation.