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Statistical Performance Analysis of MDL Source Enumeration in Array Processing

机译:数组处理中MDL源枚举的统计性能分析

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In this correspondence, we focus on the performance analysis of the widely-used minimum description length (MDL) source enumeration technique in array processing. Unfortunately, available theoretical analysis exhibit deviation from the simulation results. We present an accurate and insightful performance analysis for the probability of missed detection. We also show that the statistical performance of the MDL is approximately the same under both deterministic and stochastic signal models. Simulation results show the superiority of the proposed analysis over available results.
机译:在这种对应关系中,我们专注于数组处理中广泛使用的最小描述长度(MDL)源枚举技术的性能分析。不幸的是,可用的理论分析显示出与仿真结果的偏差。我们为漏检的概率提供了准确而有见地的性能分析。我们还显示,在确定性和随机信号模型下,MDL的统计性能大致相同。仿真结果表明了所提出的分析优于现有结果的优势。

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