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Sensors 2015, 15(8), 20250-20266; doi:10.3390/s150820250

Statistical Analysis of the Performance of MDL Enumeration for Multiple-Missed Detection in Array Processing

State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China
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Academic Editors: Yunchuan Sun, Antonio Jara and Shengling Wang
Received: 8 June 2015 / Revised: 7 August 2015 / Accepted: 13 August 2015 / Published: 18 August 2015
(This article belongs to the Special Issue Identification, Information & Knowledge in the Internet of Things)
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Abstract

An accurate performance analysis on the MDL criterion for source enumeration in array processing is presented in this paper. The enumeration results of MDL can be predicted precisely by the proposed procedure via the statistical analysis of the sample eigenvalues, whose distributive properties are investigated with the consideration of their interactions. A novel approach is also developed for the performance evaluation when the source number is underestimated by a number greater than one, which is denoted as “multiple-missed detection”, and the probability of a specific underestimated source number can be estimated by ratio distribution analysis. Simulation results are included to demonstrate the superiority of the presented method over available results and confirm the ability of the proposed approach to perform multiple-missed detection analysis. View Full-Text
Keywords: performance analysis; minimum description length (MDL); array processing; multiple-missed detection; source enumeration performance analysis; minimum description length (MDL); array processing; multiple-missed detection; source enumeration
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Du, F.; Li, Y.; Jin, S. Statistical Analysis of the Performance of MDL Enumeration for Multiple-Missed Detection in Array Processing. Sensors 2015, 15, 20250-20266.

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