微弱信号多站时差协同检测技术

针对现有时差相关检测方法难以有效检测微弱信号的现状,为提升现有检测系统对微弱信号的检测性能，提出了一种针对微弱信号的多站时差协同检测技术。通过在空间域内将多组时差站的相关结果积累，然后搜索二维网格中的最大值得到检验统计量。分析了检验统计量的概率分布，明确检验统计量在纯噪声条件下服从极值I型分布，依据奈威-皮尔逊（Neyman-Pearson）准则得到了检测门限。蒙特卡洛仿真结果表明，相同条件下，该方法比传统的相关检测的处理增益高约10lgK dB（K为时差线数目）

Multi-station TDOA-based collaborative detection of weak signals

To solve the problem that the traditional approaches fail to detect the weak signal and also improve the performance of detection,a multi-station time difference of arrival(TDOA) collaborative detection approach is proposed for weak signals.The correlation results of all the stations are cumulated in the space domain.The test statistic is obtained by searching the maximum in a two dimensional grid.The probability distribution of test statistic is implemented and the test statistic obeys the extremum I type distribution.The threshold is obtained by the Neyman-Pearson rule. Monte Carlo simulations validate that the processing gain of the approach is 10lgK dB(K is the number of TDOA station group) higher than that of the traditional detector in the same condition.