Due to the complexity of environmental factors, such as background and lighting, traditional vision-based gesturerecognition algorithms tend to be less robust. Similarly, gesture recognition algorithms based on neural networks havethe drawbacks of large computational requirements and high storage parameters, thereby hindering effective deployment. This paper proposes a novel gesture recognition algorithm based on infrared thermal imaging sensor, which effectivelyaddresses the above challenges. By collecting thermal imaging gesture data and performing preprocessing, an improvedbinary neural network is trained and deployed on a microprocessor device. Results show that the proposed binaryneural network achieves a recognition rate of 99% for three gestures, and 95% for five gestures. Compared with convolutional neural networks, which have higher computational requirements and more model storage parameters, the proposedalgorithm achieves a frame rate of 44FPS on STM32F4 microprocessor and 366FPS on H7, highlighting its potential asan effective gesture recognition technology using thermal imaging sensors.
KEYWORDS: Mobile communications, Computer simulations, Communication engineering, Wireless communications, Transceivers, Time division multiplexing, Telecommunications, Data communications, Switches
Spectrum sharing is an important approach to meet the requirements of the exponential increase in the demand for capacity in wireless communication. Long-Term Evolution (LTE) and Wi-Fi are two of the most remarkable wireless technologies at present. LTE-Unlicensed (LTE-U) bands have been introduced by the 3rd Generation Partnership Project (3GPP) to increase throughput and offload data from crowded licensed bands. Researches indicate that LTE-U exerts significant interference on Wi-Fi in dense and ultra-dense scenarios, preventing the harmonious coexistence of LTE-U and Wi-Fi. Therefore, it is necessary to adopt the coexistence scheme for restraining interference between LTE-U and Wi-Fi in unlicensed bands. In this paper, a dynamic on/off scheme is proposed to address the coexistence issues of LTEU and Wi-Fi when sharing unlicensed spectrum. We choose GNU Radio and Universal Software Radio Peripheral (USRP) in this study to construct a real-time test platform for investigating the performance of coexistence schemes based on software-defined radio (SDR). Using this platform, we conducted real-time experiments on the coexistence schemes of LTE-U and Wi-Fi in real wireless environments. The test results showed that the dynamic on/off scheme has better performance than the static on/off scheme in dense and ultra-dense scenarios. Harmonious coexistence can be achieved by adopting the dynamic on/off scheme in dense and ultra-dense scenarios.
The present 2-D direction finding methods for coexisted independent and coherent signals are mainly adopting array containing large number of array sensors, which have great computational complexity and bad utilization rate of array aperture. In this article, a 2-D DOA estimation method is presented based on the L-shape array. The estimation of the independent and coherent signals is conducted separately. the DOAs of the uncorrelated signal are estimated firstly, and the information of the coherent signal can be eliminated by exploiting the property of the coherent signals. Besides, utilizing the Toeplitz property of the uncorrelated data covariance matrix, we can obtain the data matrix containing the information of the coherent signals only. Sufficient theoretical analysis and simulation results are conducted, which show that the presented method has smaller computational complexity, higher array aperture and better performance comparing with the present methods.
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