多目标速度估计的分布式MIMO雷达资源分配算法

胡捍英; 孙扬; 郑娜娥

doi:10.11999/JEIT151452

多目标速度估计的分布式MIMO雷达资源分配算法

doi: 10.11999/JEIT151452

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- 被引次数: 12
出版历程
- 收稿日期: 2015-12-22
- 修回日期: 2016-05-10
- 刊出日期: 2016-10-19

Resource Allocation Approach in Distributed MIMO Radar with Multiple Targets for Velocity Estimation

摘要

摘要: 为了提高分布式MIMO雷达的多目标速度估计精度，该文分析了发射功率和信号有效时宽对估计精度的影响，进而提出一种将两者联合优化的资源分配算法。首先，以最小化目标速度估计的克拉美罗界(CRLB)最大值为目标函数，建立了包含发射功率和信号有效时宽两个优化变量的优化模型，然后采用连续参数凸估计(Sequential Parametric Convex Approximation, SPCA)算法对这个非凸的优化模型进行求解。最后，仿真结果表明利用所提算法进行资源分配能明显提高目标速度的估计精度。此外，仿真结果表明信号有效时宽对目标速度估计精度的影响大于发射功率。
- 分布式MIMO雷达 /
- 多目标速度估计 /
- 功率分配 /
- 信号有效时宽分配
Abstract: In order to improve the velocity estimation accuracy for multiple targets in distributed MIMO radar, this paper analyses the influence of transmitted power and signal effective time width on the estimation accuracy, and a joint resource allocation algorithm is proposed. Firstly, a criterion minimizing the maximum Cramer Rao Lower Bound (CRLB) on the mean square error in multiple targets velocity estimation is derived, and the corresponding optimization model with transmitted power and signal effective time width is solved by SPCA (Sequential Parametric Convex Approximation) algorithm. Finally, simulations demonstrate that the velocity estimation accuracy is improved by the proposed algorithm. The results also reveal that signal effective time width has a greater impact on the velocity estimation accuracy than transmitted power.
- Distributed MIMO radar /
- Multiple targets velocity estimation /
- Power allocation /
- Signal effective time width allocation

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参考文献(19)

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