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二维谱估计算法的空间探测性能分析及验证 被引量:2

Analysis and verification on space probe performance of 2-D spectrum estimation algorithm
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摘要 针对二维谱估计算法的空间探测性能分析的需求,从计算速度、计算量、顽健性、计算精度以及实际工程应用的角度出发,对基于L型阵列的二维MUSIC、二维干涉仪、二维增广矩阵束的谱估计算法进行了简要介绍,并对上述二维谱估计算法的性能进行了仿真分析,得到了3种算法的角度RMSE的对比分析,可知在同样仿真条件下,二维增广矩阵束算法最优,二维MUSIC算法次之,二维干涉算法最差。同时,构建了相应的试验场景,通过试验分析上述二维谱估计算法的空间探测性能,得到的试验结论与仿真结论一致。在此基础上,提出了二维增广矩阵束算法可扩展应用到雷达测控一体化系统的思路。 According to the analysis requirement of the space probe performance of 2-D spectrum estimation algorithm, a brief introduction of the 2-D spectrum estimation algorithms was given in the view of calculating speed,calculating volume, stability, accuracy and practical application. These algorithms were the spectrum estimation algorithms of the 2-D MUSIC, the 2-D interference and the 2-D MEMP with the L-shaped array. The estimation performance of the algorithms were analyzed by simulations, the angle root mean square error of three algorithms were compared and analyzed. Simulation results show that the performance of the 2-D MEMP is the best, the performance of the 2-D interference algorithm is the worst, and the performance of the 2-D MUSIC is moderate.Meanwhile, the experimental scene was constructed, and the space probe performance of the 2-D spectrum estimation algorithm was analyzed by real data. The experimental results were consistent with the simulation results.Based on this, the 2-D MEMP algorithm may be further applied in the radar and TTC system.
作者 李婷
出处 《电信科学》 北大核心 2016年第5期173-178,共6页 Telecommunications Science
关键词 空间探测 二维谱估计 阵列流型 角度RMSE 非协作目标探测 测控系统 space probe 2-D spectrum estimation array manifold angle root mean square error non-cooperative target detection TT&C system
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