详细分析与估计了系统的测量误差并探索了提高准确度的方法。
The error have been analyzed and estimated in detail and the method to raise accuracy of measurement have been discussed.
移动与静止目标获取与识别（MSTAR）公共数据库实测数据的仿真结果表明，该方法估计误差较小，可获得较高的估计准确度。
The simulation results using Moving and Stationary Target Acquisition and Recognition (MSTAR) data indicate that the error of the proposed method is small, and thus it has high accuracy.
移动与静止目标获取与识别（MSTAR）公共数据库实测数据的仿真结果表明，该方法估计误差较小，可获得较高的估计准确度。
The simulation results using Moving and Stationary Target Acquisition and Recognition (MSTAR) data indicate that the error of the proposed method is small, and thus it has high accuracy.
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