A Limit-Achievable Estimator for Range and Doppler Estimation in Pulse-Doppler Radar

Han Zhang, Dazhuan Xu, Meng Sun, Jingjing Pan
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Abstract

This paper proposes a limit-achievable joint range and direction of arrival estimation method in pulse-Doppler radar, named sampling a posteriori (SAP). To evaluate the performance of the SAP, entropy error is introduced and it is proved that the empirical entropy error of the SAP achieves the theoretical entropy error when the number of snapshots tends to infinity. In order to reduce the computation burden of the SAP, a relaxation technique is adopted, which is based on a random number generator and the cumulative distribution function. Numerical simulation is carried out and results indicate that the relaxation technique can effectively reduce the computation burden of SAP at the cost of a insignificant estimation performance loss.
脉冲多普勒雷达距离和多普勒估计的极限可达估计器
提出了一种极限可达的脉冲多普勒雷达到达距离和到达方向联合估计方法,称为后验采样(SAP)。为了评价SAP的性能,引入了熵误差,并证明了当快照数量趋于无穷大时,SAP的经验熵误差达到理论熵误差。为了减少SAP的计算量,采用了一种基于随机数生成器和累积分布函数的松弛技术。数值仿真结果表明,松弛技术可以有效地减少SAP的计算量,而估计性能损失较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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