Gesture recognition plays an increasingly important role as the requirements of intelligent systems for human-computer interaction methods increase.To improve the accuracy of the millimeter-wave radar gesture detectio...Gesture recognition plays an increasingly important role as the requirements of intelligent systems for human-computer interaction methods increase.To improve the accuracy of the millimeter-wave radar gesture detection algorithm with limited computational resources,this study improves the detection performance in terms of optimized features and interference filtering.The accuracy of the algorithm is improved by refining the combination of gesture features using a self-constructed dataset,and biometric filtering is introduced to reduce the interference of inanimate object motion.Finally,experiments demonstrate the effectiveness of the proposed algorithm in both mitigating interference from inanimate objects and accurately recognizing gestures.Results show a notable 93.29%average reduction in false detections achieved through the integration of biometric filtering into the algorithm’s interpretation of target movements.Additionally,the algorithm adeptly identifies the six gestures with an average accuracy of 96.84%on embedded systems.展开更多
Modified implementation architecture for sinusoidal frequency modulation is introduced to extract the range information from the received radar echo. Range ambiguity problem arises because the range is calculated from...Modified implementation architecture for sinusoidal frequency modulation is introduced to extract the range information from the received radar echo. Range ambiguity problem arises because the range is calculated from the estimated phase of the received signal which is wrapped into （0, 2π]. By integrating Doppler frequency shifts, the variation of range can be estimated and used as an auxiliary information to help eliminating the corresponding range ambiguity. The performance of the new technique is evaluated by simulations. The results show that this technique is robust to sever phase noise and can be used effectively for ambiguity elimination of the modified sinusoidal frequency modulated continuous wave radar.展开更多
FMCW-SAR因其体积小、重量轻、成本低和高分辨率等优点近年来发展迅速,在低成本的民事应用领域具有广阔的发展前景。传统脉冲SAR的系统冲击响应函数不同于FMCW-SAR,因而,脉冲SAR的快速回波模拟算法不能直接应用于FMCW-SAR。该文在分析...FMCW-SAR因其体积小、重量轻、成本低和高分辨率等优点近年来发展迅速,在低成本的民事应用领域具有广阔的发展前景。传统脉冲SAR的系统冲击响应函数不同于FMCW-SAR,因而,脉冲SAR的快速回波模拟算法不能直接应用于FMCW-SAR。该文在分析了条带FMCW-SAR信号特性的基础上,提出了其原始回波数据的2维频域快速模拟算法。该算法利用FFT快速实现了回波数据时域模拟方法中的距离向和方位向积分运算。与时域模拟方法相比,其计算效率提高了O(N a N r/log 2(N a N r))个数量级。点目标回波数据的仿真实验验证了所提算法的合理性和有效性。展开更多
基金supported by the National Natural Science Foundation of China(No.12172076)。
文摘Gesture recognition plays an increasingly important role as the requirements of intelligent systems for human-computer interaction methods increase.To improve the accuracy of the millimeter-wave radar gesture detection algorithm with limited computational resources,this study improves the detection performance in terms of optimized features and interference filtering.The accuracy of the algorithm is improved by refining the combination of gesture features using a self-constructed dataset,and biometric filtering is introduced to reduce the interference of inanimate object motion.Finally,experiments demonstrate the effectiveness of the proposed algorithm in both mitigating interference from inanimate objects and accurately recognizing gestures.Results show a notable 93.29%average reduction in false detections achieved through the integration of biometric filtering into the algorithm’s interpretation of target movements.Additionally,the algorithm adeptly identifies the six gestures with an average accuracy of 96.84%on embedded systems.
基金Sponsored by the Ministerial Level Advanced Research Foundation (323010101-50)
文摘Modified implementation architecture for sinusoidal frequency modulation is introduced to extract the range information from the received radar echo. Range ambiguity problem arises because the range is calculated from the estimated phase of the received signal which is wrapped into （0, 2π]. By integrating Doppler frequency shifts, the variation of range can be estimated and used as an auxiliary information to help eliminating the corresponding range ambiguity. The performance of the new technique is evaluated by simulations. The results show that this technique is robust to sever phase noise and can be used effectively for ambiguity elimination of the modified sinusoidal frequency modulated continuous wave radar.
文摘FMCW-SAR因其体积小、重量轻、成本低和高分辨率等优点近年来发展迅速,在低成本的民事应用领域具有广阔的发展前景。传统脉冲SAR的系统冲击响应函数不同于FMCW-SAR,因而,脉冲SAR的快速回波模拟算法不能直接应用于FMCW-SAR。该文在分析了条带FMCW-SAR信号特性的基础上,提出了其原始回波数据的2维频域快速模拟算法。该算法利用FFT快速实现了回波数据时域模拟方法中的距离向和方位向积分运算。与时域模拟方法相比,其计算效率提高了O(N a N r/log 2(N a N r))个数量级。点目标回波数据的仿真实验验证了所提算法的合理性和有效性。
