Performance Analysis of Recurrence Matrix Statistics for the Detection of Deterministic Signals in Noise

Understanding the limitations to detecting deterministic signals in the presence of noise, especially additive, white Gaussian noise, is of importance for the design of LPI systems and anti-LPI signal defense. In this report, we investigate the use of recurrence plots for such detection, and we comp...

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Hauptverfasser:	Michalowicz, Joseph V, Nichols, Jonathan M, Bucholtz, Frank
Format:	Report
Sprache:	eng
Schlagworte:	DETECTION DETERMINANTS(MATHEMATICS) DISTRIBUTION CURVES GAUSSIAN NOISE INTERCEPTION PROBABILITIES LPI(LOW PROBABILITY OF INTERCEPT) MATRIX THEORY Miscellaneous Detection and Detectors PE61135N PERFORMANCE(ENGINEERING) RECEIVERS RECURRENCE ROC(RECEIVER-OPERATOR CHARACTERISTICS) SIGNAL DETECTION SIGNALS STATISTICS SYSTEMS ANALYSIS WHITE NOISE WUEW014-02-41-8955
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Zusammenfassung:	Understanding the limitations to detecting deterministic signals in the presence of noise, especially additive, white Gaussian noise, is of importance for the design of LPI systems and anti-LPI signal defense. In this report, we investigate the use of recurrence plots for such detection, and we compare the performance of a recurrence-plot-based detector to a standard power-detection approach. Performance is evaluated using receiver-operator characteristic (ROC) curves. Prepared in collaboration with SFA, Inc., Crofton, MD. The original document contains color images.