基于区域生长的宽带多信号检测与定位算法

Wideband Signal Detection and Localization Algorithm Based on Region Growing Method

在基于单天线的宽带多信号检测与定位过程中现有的方法对信号带宽、中心频率等参数估计不够准确,噪声门限的选择也比较困难。针对上述问题提出了一种自上而下的信号检测与定位算法,首先通过信号的功率谱统计直方图确定可能出现信号区域的幅度值,然后根据幅度值在信号区域植入一个或多个种子点,利用区域生长法来判定不同的信号区域,最后根据判断出的信号区域估计出信号参数。仿真结果表明该方法在白噪声与色噪声基底下的检测都取得很好的效果,对信号参数的估计也更加准确,对保护间隔较小的信号也能够很好地区分开。

In the process of broadband signal detection and positioning based on single antenna for the existing methods, it is difficult to accurately estimate the signal bandwidth and center frequency, and to precisely determine the noise threshold. To solve these problems, this paper proposes a top-down broadband signal detection and localization algorithm. First, the amplitude value of the possible signal region is determined by the spectrum statistical histogram. Then, one or more seeds are implanted into the signal region to determine different signal areas. Last, the detected signal area is used to estimate the signals＇ bandwidth, center frequency, etc. The simulation results show that the method under white noise and color noise has very good effect and a more accurate estimation. Meanwhile, it can distinguish signals with small protection interval.