通过采样和计算机处理，完成了LFMCW本振信号和目标回波模拟信号的差拍信号的测试与分析，得到了满意的结果。
Measured and analyzed the beat signal of LFMCW and simulated echo of object signals by sampling, computer processing, achieved satisfying result.
经拉伸处理和窄带滤波的目标信号带宽大大降低，数据采样率也大大降低，因此计算量减小，利于工程实现。
The bandwidth of target signal after stretch processing and narrowband filtering, the data sample ratio and computing burden are reduced greatly and the method is easy for engineering implementation.
根据该区域目标模型可以计算出测绘区域的目标回波信号，经处理后得到测绘区域图像。
With this simulation targets model, the targets return signals will be calculated. And then the images of the scanning area are given.
提出了一种基于机器视觉与离散傅里叶变换的目标特征识别方法。利用计算机图像技术采集和处理图像信号；
A identifying image methods based on machine vision and DFT are studied, The images are collected and video signal is processed using computer technology.
传感器输出各自测得的目标参数和状态参数到数据融合中心，特殊设计的惯量计算方法抽提出各路信号的特征参数。
Every sensor obtains its target parameters and status parameters and outputs to the computer. Special method of inertia calculation refines on every feature parameters.
本文提出一种新的多目标阵列接收信号协方差矩阵的去噪方法，并对结果进行了计算机模拟。
A new method of removing noise, which is based on multitarget array covariance matrix of received signals, is developed in this paper. The results obtained by the method are simulated by the computer.
对采集到的信号做功率谱估计后，结合测量时的雷达参数和环境参数，就可以计算出被测目标的散射系数。
After the power spectrum estimation for the collected signals, the measured objectives 'scattering coefficient can be calculated out combined to the radar parameters and environmental parameters.
对采集到的信号做功率谱估计后，结合测量时的雷达参数和环境参数，就可以计算出被测目标的散射系数。
After the power spectrum estimation for the collected signals, the measured objectives 'scattering coefficient can be calculated out combined to the radar parameters and environmental parameters.
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