Fault detection method and system

Abstract

The invention relates to a fault detecting method and a fault detecting system. The fault detecting method comprises the steps of acquiring the synthetic weight of each sensor in a sensor array, a first signal-to-noise ratio of a synthetic signal of a sensor array and a sensor factor of each sensor; according to the sensor factor of each sensor, selecting a target sensor from the sensor array, and updating the synthetic weight of the target sensor to a first corrected value; according to the first corrected value of the target sensor and the synthetic weights of other sensors in the sensor array except for the target sensor, calculating a second signal-to-noise ratio of the synthetic signal; determining whether the second signal-to-noise ratio is larger than the first signal-to-noise ratio; and when the second signal-to-noise ratio is larger than the first signal-to-noise ratio, judging the target sensor as a fault sensor, wherein the first corrected value is the synthetic weight of the target ratio. The fault detecting method can effectively detect sensor faults and furthermore corrects the synthetic weight of the fault sensor, thereby reducing a synthetic loss.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a fault detection method and system. Background technique [0002] The signal synthesis technology of the sensor array uses multiple sensors to receive the same signal, and according to the coherence of the signal and the incoherence of the noise, the signal is weighted and synthesized, thereby improving the signal-to-noise ratio of the received signal. The signal synthesis technology of the sensor array can effectively improve the receiving performance of the sensor array, and provide a way to receive some extremely low signal-to-noise ratio signals, which can be applied in the fields of environmental detection, radar reception, communication navigation or deep space detection. [0003] A SUMPLE algorithm is proposed in the article "The SUMPLE Algorithm for Aligning Arrays of Receiving Radio Antennas: Coherence Achieved with Less Hardware and Lower Combining Loss" published by D...

AI Technical Summary

Problems solved by technology

[0006] The problem with the above two algorithms is that the SUMPLE algorithm does not analyze the estimation of the composite weight when a fault occurs

[0007] The disadvantages of the α-SUMPLE algorithm are: (1) When the sensor array does not fail, the weight correction coefficient The combined weight signal-to-noise ratio decreases, thereby increasing the additional combined loss; (2) When the sensor array fails, if the signal-to-noise ratio of the signal is low, the weight correction coefficient Will further increase the weight error, resulting in a greater synthesis loss

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