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Detection by incoherent recombination with partial information

机译:通过不连贯重组与部分信息进行检测

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Matched filter (MF) detection in spread environments is often seriously degraded by the mismatch between the waveform replica and the composite signal formed by the spreading environment. Typically the spreading is caused by multiple delayed reflections due to scatter extent or multipath especially in shallow water sonar applications. It is possible to recover some detector performance by incoherent summation of weighted MF realizations in a process called incoherent recombining (IR). Several IR strategies for Gaussian data that assume varying amounts of prior scattering function (SF) information are examined, their receiver operating characteristics (ROCs) computed, and compared with those of the unrealizable “prescient” receiver (PR). They include optimally weighted and unweighted versions of the maximum likelihood estimator-correlator (EC), and variations of the “at-least-one” (ALO) detector that examines sequences of MF realizations declaring a detection if at least one threshold is crossed. As might be expected, performance improves with the accuracy of the prior information incorporated in the detector formulation
机译:扩展环境中的匹配滤波器(MF)检测通常会因波形副本与扩展环境形成的复合信号之间的不匹配而严重恶化。通常,扩散是由散射程度或多径引起的多次延迟反射引起的,尤其是在浅水声纳应用中。通过在称为非相干重组(IR)的过程中对加权MF实现进行非相干求和,可以恢复某些检测器性能。研究了几种高斯数据的IR策略,这些策略假定了数量不同的先验散射函数(SF)信息,计算了它们的接收器工作特性(ROC),并与无法实现的“先验”接收器(PR)进行了比较。它们包括最大似然估计器相关器(EC)的最佳加权和未加权版本,以及“至少一个”(ALO)检测器的变体,该检测器检查MF实现的序列,以声明是否超过了至少一个阈值。可以预期,检测器配方中包含的先验信息的准确性会提高性能

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