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Delay-Doppler radar tracking using moments

机译:利用矩跟踪多普勒雷达

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In this paper, we propose a new blind approach for joint time delay and Doppler estimation. The delay and Doppler have been imposed onto a signal modeled as a Gaussian mixture contaminated by a non-Gaussian and non-stationary noise. The estimation is done using the moments of received signal. This procedure provides lower complexity and more accuracy relative to other rival methods such as Wigner-Ville (WV) and wavelet transform. In this method, the noise power is assumed unknown and estimated as well. Then, the proposed delay and Doppler estimation is used for radar tracking. Based on the estimated delay and Doppler, we track the position and velocity of the target. We compare the new approach against extended Kalman filter and particle filter tracker.
机译:在本文中,我们为联合时延和多普勒估计提出了一种新的盲法。延迟和多普勒已被施加到一个信号上,该信号建模为受非高斯和非平稳噪声污染的高斯混合信号。估计是使用接收信号的矩完成的。与其他竞争方法(例如Wigner-Ville(WV)和小波变换)相比,此过程可提供较低的复杂度和更高的准确性。在该方法中,假定噪声功率未知并且也被估计。然后,将提出的延迟和多普勒估计用于雷达跟踪。基于估计的延迟和多普勒,我们跟踪目标的位置和速度。我们将新方法与扩展卡尔曼滤波器和粒子滤波器跟踪器进行了比较。

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