摘要
根据分布式相干MIMO雷达的工作原理和空间多目标信号模型,在目标位置估计的基础上,推导证明了多目标位置估计的克拉美罗下界(Cramer-Rao lower bound,CRLB)。在对比单目标条件下阵列优化的前提下,提出了基于多目标空间分集增益和目标互扰模型的优化布阵准则,同时分析论证了多目标条件下优化布阵存在的必然性,给出了均匀非对称水平布型为优化布阵的结论。仿真实验验证了理论分析的正确性。
The model of multi-target signal based on the distributed multiple-input multiple- output （MIMO） radar is analyzed, and the Cramer Rao lower bound （CRLB） of multi-target localization estimation in the model is also presented. The array optimization criteria based on diversity gain and mutual interference is proposed by contrasting the array optimization with that of the signal target case. The inevitability of array optimization is demonstrated, and the nonsymmetrical but horizontal placement is optimal. The performance of the proposed estimator is validated by simulation results.
出处
《数据采集与处理》
CSCD
北大核心
2012年第4期410-416,共7页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(50323005)资助项目
关键词
相干MIMO雷达
多目标
CRLB
阵列布型
coherent MIMO radar
multi-target
Cramer-Rao lower bonnd（CRLB）
array placement
