A novel intercept detection method for low-SNR targets using frequency domain processing

Kumar, K. Suresh; Sijomon, P. J.; Joseph, K. Shamju; Premod, D. M.; Shenoi, V. S.; Bhai, D. Subhadra

doi:10.1109/sympol.2013.6701907

Cited by 1 publication

(2 citation statements)

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“…Under low SNR scenarios, the pulse signals and ambient noise were indistinguishable in the time domain. In the frequency domain, however, a potential pulse tends to be more discernible [11]. Therefore, we choose to transform an observation subsequence into the frequency domain.…”

Section: The Vsre-based Non-parametric Detection Methodsmentioning

confidence: 99%

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Variable Scale Relative Entropy Detection for Non-Cooperative Underwater Acoustic Pulse Signals

2020

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This work investigates the detection of non-cooperative underwater acoustic pulse signals at low signal-to-noise ratio (SNR). A variable scale relative entropy (VSRE) pulse signal detection scheme is proposed. Different from conventional relative entropy (RE) method where an observation sequence is processed at a given scale for detection, the proposed scheme performs the processing at multiple different scales. As a result, the original RE difference vector becomes a RE difference matrix, each column corresponding to a particular scale. Before a decision is made, the VSRE difference matrix is post-processed for improved fidelity. The non-zero elements of the resulting VSRE difference matrix are divided into groups, each corresponding to a pulse signal, based on their occurrence times within the observation sequence. Within each group, the one with the maximum RE difference is chosen to determine the exact appearance time and duration of the pulse signal. The performance gain of the VSRE detector over existing RE detector has been verified by both simulation and at-sea experimental results. INDEX TERMS Non-cooperative detection, underwater acoustic pulse signals, variable scale relative entropy.

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Section: The Vsre-based Non-parametric Detection Methodsmentioning

confidence: 99%

“…In addition to the aforementioned classical detection algorithms, some emerging methods have also been proposed recently. Kumar et al proposed an intercept detection method for low-SNR targets [11]. It employs a new beamforming scheme and a dynamic threshold to achieve a constant false alarm rate, irrespective of the intercepted frequency.…”

Section: Introductionmentioning

confidence: 99%