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Optimal structure of the passive sonar for detecting very weak broad-band signals

机译:用于检测非常弱的宽带信号的无源声纳的最佳结构

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OPTIMAL STRUCTURE OF THE PASSIVE SONAR FOR DETECTING VERY WEAK BROAD-BAND SIGNALS - The article deals with the application of the optimal statistical detection for the passive sonar. The Neyman-Pearson statistical criterium of Bayes family probability tests is considered. It is supposed that the underwater vessel noise on the receiving location (useful signal) is a very weak broadband, stationary and ergodic colored stochastic process with the Gaussian distribution. The deep-sea ambient noise (interference) is supposed to be a broadband, stationary and ergodic colored Gaussian stochastic process. Its power spectral density is a known and deterministic function versus frequency. The article covers the frequency band from 500 Hz to 10 kHz.
机译:用于检测非常弱的宽带信号的无源声纳的最佳结构-本文介绍了无源声纳的最佳统计检测应用。考虑贝叶斯家庭概率测验的内曼-皮尔森统计准则。假定接收位置上的水下船只噪声(有用信号)是一个非常弱的宽带,平稳且遍历高斯分布的彩色遍历随机过程。深海环境噪声(干扰)被认为是宽带的,平稳的和遍历遍历的高斯随机过程。它的功率谱密度是频率的已知和确定性函数。本文涵盖了从500 Hz到10 kHz的频带。

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