The inaccurate Doppler centroid estimation can evidently degrade the quality of SAS image.
不准确的多普勒中心估计会显著降低合成孔径声纳图像质量。
Doppler centroid estimation is one of the most important steps in the DBS imaging of airborne pulse Doppler radars.
多普勒质心估计是机载脉冲多普勒雷达dbs成像技术中最为关键的步骤之一。
To implement imaging with high resolution, real-time and precision of Doppler centroid estimation at the same time must be ensured.
为了实现高分辨率成像，在保证系统实时性的同时还要保证中心频率估计的精度。
Due to the large amount and high-speed of the radar data transaction, it is a real challenge for real-time realization of Doppler centroid estimation.
由于雷达数据量大、速率高，多普勒中心估计的实时实现具有很大的挑战性。
Under the condition that marked inertial navigation units(INU) measurement errors do exist, two new Doppler centroid estimation techniques in frequency domain and time domain were proposed.
本文针对载机惯导参数误差较大的实际情况，提出了改进的频域和时域多普勒质心估计算法。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
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