Research on the Multi-Sensors Fusion System in Warships Chemical Detection Field

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Abstract:

For the fastness and accuracy, the speedy features extraction and identification system for chemical agents is founded using the multi-sensors information fusion (MSIF) technology. Firstly, the review about the MSIF technology is researched in the Warships Chemical Detection (WCD) field, the basic method of the neural networks distinguishing chemical agents is analyzed, and the model based on the multi-sensors fusion is built. Secondly, take example for the neural networks distinguishing chemical agent model in the WCD system, its basic method is analyzed, its application thinking is put forward, and its information fusion flow is discussed. Thirdly, the chemical agents feature extraction method based on the wavelet analysis is put forward, and the systemic hardware realization and software structure are discussed. Lastly, the experiment and simulation results show that this is a kind of valid methods to realize the automation and intelligence of distinguishing chemical agents using the neural networks combined with the multi-sensors, and the method can remarkably heighten the accuracy and credibility of the measurement results, and the results are of repeatability.
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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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