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To expand the measurement target from that containing simple cylindrical-shaped components to complex-shaped components that have several directional tilted surfaces, we determined an issue in measuring the rough surfaces with laser distance measurement. The issue is that laser speckle causes measurement error, which amount, we found, can be determined by the diameter and irradiation angle of the measurement laser beam. We then developed two error-reduction techniques that are based on the optical properties of a detected waveform and power. We conducted a basic experiment and a feasibility study with actual samples, to evaluate the distance measurement performance of targets with various surface roughness and irradiation angles. The roughness and angle range of the evaluation was determined considering actual measurement needs in parts manufacturing. We confirmed that the measurement error, whose maximum value was nearly 80 μm, decreased to less than 20 μm using our proposed local-maximum-power-based technique. 相似文献
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连续波(CW)雷达没有近距离盲区,但存在近距离信号泄漏和目标强回波干扰问题,严重影响雷达的探测性能。针对该问题,提出了一种基于单频调频信号的贝塞尔函数曲线特性进行近距离信号抑制的方法。首先建立了调频发射信号回波及I、Q解调数学模型,推导了调频信号的贝塞尔函数曲线特性;其次阐述了如何选择合适的调频频率和调频指数,能够更好的解决近距离干扰问题;最后,针对设置的参数进行仿真,结果表明该方法有效。 相似文献
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介绍多载频MIMO雷达的特点和工作原理,对多载频线性调频连续波(FMCW)信号及其回波进行了分析,并详细论述了MIMO雷达中静止目标和运动目标情况下多载频FMCW信号处理方法以及其中的一些关键问题,如通道分离滤波器的设计、距离分辨率分析、速度补偿精度分析、相参积累周期数的选取等.针对该体制雷达各发射天线间载频不同的特点,提出了采用IFFT相参合成的方法来精测目标距离,获得距离高分辨,具有运算速度快、受目标运动影响小的优点;对运动目标情况下距离多普勒的耦合问题进行了详细分析,并提出了利用相参积累进行补偿的解决方案. 相似文献
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In this paper, the spectral estimation algorithm is extended to the detection of human vital signs by mm-wave frequency modulated continuous wave (FMCW) radar, and a comprehensive algorithm based on spectrum refinement and the extended differentiate and cross multiply algorithm (DCMA) has been proposed. Firstly, the improved DFT algorithm is used to accurately obtain the distance window of human body. Secondly, phase ambiguity in phase extraction is avoided based on extended DCMA algorithm. Then, the spectrum range of refinement is determined according to the peak position of the spectrum, and the respiratory and heartbeat frequency information is obtained by using chirp z-transform (CZT) algorithm to perform local spectrum refinement. For verification, this paper has simulated the radar echo signal modulated by the simulated cardiopulmonary signal according to the proposed algorithm. By recovering the simulated cardiopulmonary signal, the high-precision respiratory and heartbeat frequency have been obtained. The results show that the proposed algorithm can effectively restore human breathing and heartbeat signals, and the relative error of frequency estimation is basically kept below 1.5%. 相似文献
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