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Research on power spectrum estimation based on periodogram and burg algorithm

机译:基于周期图和burg算法的功率谱估计研究

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With rapid development of modern intelligent traffic management, the measuring speed radar becomes an important device. Using Doppler principle, speed can be measured by obtaining frequency deviation signal of moving target. Traditional measuring speed method uses analog filter whose measuring accuracy is low and measuring speed is slow, so it's difficult to meet the requirements of modern intelligent traffic management. Signal processing of speed radar generally use power spectrum estimation method. This paper focuses on classical period spectral estimation and modern spectral estimation based on Burg algorithm. By comparing various algorithms in computational complexity and resolution, Burg algorithm was used to signal processing finally. Experimental and simulation results indicated that digital signal processing system would meet system requirements for measurement accuracy.
机译:随着现代智能交通管理的飞速发展,测速雷达成为重要的设备。使用多普勒原理,可以通过获取运动目标的频率偏差信号来测量速度。传统的测速方法采用模拟滤波器,其测量精度低,测量速度慢,难以满足现代智能交通管理的要求。测速雷达的信号处理一般采用功率谱估计方法。本文着重研究基于Burg算法的经典周期谱估计和现代谱估计。通过比较各种算法的计算复杂度和分辨率,最终使用Burg算法进行信号处理。实验和仿真结果表明,数字信号处理系统可以满足系统对测量精度的要求。

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