2016DEStech Transactions on Engineering and Technology ResearchRequires access

The Performance Analysis of Interference Detection Based on Energy Detection

He Shang, Zhiliang Tan

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Abstract

In this paper the energy detection method will be applied to the jam detection of radio silence. Analyze and get the theoretical value of the detection probability and false-alarm probability in Gaussian channel and Rayleigh channel. Via Monte Carlo simulation, we prove the false detection probability of the energy detection in Gaussian channel is significantly lower than that of the Rayleigh channel. We get the detection probability-false alarm probability curve and detection probability-SNR curve, and analyze the influence of the false alarm probability and SNR. Then realize the single threshold and multi-threshold decision, and analyze the test results of energy detection, providing the reference and foundation for the application of energy detection in the jam detection.

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What this paper is about

In this paper the energy detection method will be applied to the jam detection of radio silence. Analyze and get the theoretical value of the detection probability and false-alarm probability in Gaussian channel and Rayleigh channel. Via Monte Carlo simulation, we prove the false detection probability of the energy detection in Gaussian channel is significantly lower than that of the Rayleigh channel. We get the detection probability-false alarm probability curve and detection probability-SNR curve, and analyze the influence of the false alarm probability and SNR. Then realize the single threshold and multi-threshold decision, and analyze the test results of energy detection, providing the reference and foundation for the application of energy detection in the jam detection.

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Available abstract

In this paper the energy detection method will be applied to the jam detection of radio silence. Analyze and get the theoretical value of the detection probability and false-alarm probability in Gaussian channel and Rayleigh channel. Via Monte Carlo simulation, we prove the false detection probability of the energy detection in Gaussian channel is significantly lower than that of the Rayleigh channel. We get the detection probability-false alarm probability curve and detection probability-SNR curve, and analyze the influence of the false alarm probability and SNR. Then realize the single threshold and multi-threshold decision, and analyze the test results of energy detection, providing the reference and foundation for the application of energy detection in the jam detection.

Key concepts: False alarm, Energy (signal processing), Computer science, Interference (communication), Detection threshold, Detection theory, Statistical power, Channel (broadcasting)

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