Performance of MIMO Radar With Angular Diversity Under Swerling Scattering Models
Performance of MIMO Radar With Angular Diversity Under Swerling Scattering Models
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DOI：
10.1109/jstsp.2009.2038971
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发表时间：
2010-01
影响因子：
7.5
通讯作者：
Tuomas Aittomäki;V. Koivunen
中科院分区：
文献类型：
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作者：
Tuomas Aittomäki;V. Koivunen
本文分析了使用分布式天线的统计多输入多输出（MIMO）雷达配置的性能。统计MIMO雷达利用角度分集来减轻雷达散射截面（RCS）波动的影响。这些波动可以用斯韦林散射模型来建模，该模型包含四种不同情况，分别对应目标RCS的快速或缓慢波动。在本文中，比较了不同统计MIMO雷达配置在不同斯韦林情况下的性能。同时考虑了目标检测和到达方向估计任务。我们推导了在所有斯韦林情况下，单脉冲以及多脉冲场景中非正交波形的目标检测的最优检验统计量。我们推导了在斯韦林情况1和2中，零假设和备择假设下检验统计量的闭式密度函数。对于情况3和4中的正交波形，密度函数表示为涉及超越函数的卷积。还介绍了一种在情况3和4中当波形正交时具有闭式密度函数的次优探测器。在测向任务中，比较了不同配置的平方估计误差的置信界。由于并非所有情况和配置都能定义克拉美 - 罗界，所以通过置信界进行比较。指出了在不同波动场景下角度分集以及每种雷达配置的优缺点。
The performance of statistical multiple-input multiple-output (MIMO) radar configurations that use distributed antennas is analyzed in this paper. Statistical MIMO radars exploit angular diversity to mitigate the impact of radar cross section (RCS) fluctuations. The fluctuations can be modeled with the Swerling scattering model consisting of four different cases with either fast or slow target RCS fluctuations. In this paper, the performance of different statistical MIMO radar configurations is compared in the different Swerling cases. Both target detection and direction of arrival estimation tasks are considered. We derive the optimal test statistics for target detection for non-orthogonal waveforms in all the Swerling cases in single-pulse as well as multi-pulse scenarios. We derive a closed-form density function for the test statistics under null and alternate hypotheses in the Swerling cases 1 and 2. For orthogonal waveforms in cases 3 and 4, the density function is given as a convolution involving a transcendental function. A suboptimal detector having a closed-form density function in cases 3 and 4 when the waveforms are orthogonal is introduced as well. In the direction finding task, confidence bounds of the squared estimation error of the different configurations are compared. The comparison is done in terms of the confidence bounds as the Cramer-Rao bounds are not defined for all the cases and configurations. The pros and cons of the angular diversity and each radar configuration are pointed out in different fluctuation scenarios.