Signal processing incorporating signal, tracking, estimation, and
removal processes using a maximum a posteriori algorithm, and
sequential signal detection
    11.
    发明授权
    Signal processing incorporating signal, tracking, estimation, and removal processes using a maximum a posteriori algorithm, and sequential signal detection 失效
    使用最大后验算法结合信号,跟踪,估计和去除过程的信号处理以及顺序信号检测

    公开(公告)号:US5315538A

    公开(公告)日:1994-05-24

    申请号:US860732

    申请日:1992-03-23

    CPC classification number: G01S7/5273 G01S3/80 G01S7/52001

    Abstract: A system and method for automating signal tracking, estimation of signal parameters, and extraction of signals from sonar data to detect weaker signals. A maximum a posteriori (MAP) algorithm processing provides a track output of the signal which is used as a guide or template to provide optimal spectral integration on an unstable or frequency varying line. The present invention includes track integration, parameter estimation, signal track normalization, and sequential signal detection. The present invention partitions the input band into frequency subwindows. For each subwindow, the strongest signal is tracked, its parameters are estimated, and then the signal is normalized (removed) from the subwindow. This is repeated until the entire subwindow set is processed. Then the subwindows, now with their strongest signals removed, are recombined to form one input band. This aggregated procedure represents one processing pass. In the next pass, the entire above procedure is repeated with either the same or new subwindow boundaries. This continues until a predetermined number of passes is completed. Sequential signal detection is provided from one data frame to the next, a problem that is beyond the capability of conventional systems and methods for tracking frequency lines of unknown frequency modulation and amplitude.

    Abstract translation: 一种用于自动化信号跟踪,信号参数估计和从声纳数据中提取信号以检测较弱信号的系统和方法。 最大后验(MAP)算法处理提供信号的轨道输出,其用作指导或模板,以在不稳定或频率变化的线上提供最佳频谱积分。 本发明包括轨道积分,参数估计,信号轨迹归一化和顺序信号检测。 本发明将输入频带划分为频率子窗口。 对于每个子窗口,跟踪最强的信号,估计其参数,然后从子窗口对信号进行归一化(去除)。 直到整个子窗口集被处理为止。 然后,将其最强信号去除的子窗口重新组合以形成一个输入带。 此聚合过程代表一个处理通行证。 在下一遍中,使用相同或新的子窗口边界重复整个上述过程。 这一直持续到预定数量的通行完成。 从一个数据帧到下一个数据帧提供顺序信号检测,这是超出传统系统和跟踪未知频率调制和幅度的频率线的方法的能力的问题。

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