配准误差下的多基地雷达目标检测算法

胡勤振; 苏洪涛; 刘子威; 周生华; 杨阳

doi:10.11999/JEIT160207

配准误差下的多基地雷达目标检测算法

doi: 10.11999/JEIT160207

基金项目:

国家自然科学基金(61372134, 61401329)

计量
- 文章访问数: 1229
- HTML全文浏览量: 112
- PDF下载量: 474
- 被引次数: 0
出版历程
- 收稿日期: 2016-03-07
- 修回日期: 2016-07-12
- 刊出日期: 2017-01-19

Target Detection Algorithm for Multistatic Radar with Registration Errors

Funds:

The National Natural Science Foundation of China (61372134, 61401329)

摘要

摘要: 在多基地雷达系统中，即使进行了空间配准处理，也很难实现完美的空间配准。该文研究了分布式MIMO雷达系统存在配准误差时的目标检测问题。根据是否利用已知先验配准误差信息对目标位置信息进行估计，给出了MAP-GLRT和ML-GLRT两种检测器。由于MAP-GLRT检测器利用了先验信息，因此其检测性能优于ML-GLRT检测器。在配准误差条件下，两种检测器的性能要优于传统的融合检测算法。通过仿真实验验证了所提算法的有效性。
- 多基地雷达 /
- 配准误差 /
- 目标检测
Abstract: In a multistatic radar system, perfect registration is unavailable in practice even after a registration process. In this paper, a target detection problem for a distributed Multiple-Input Multiple-Output (MIMO) radar with registration errors is considered. To estimate target positions by weather using a knowing a priori information of registration errors or not, a Maximum A Posteriori Generalized Likelihood Ratio Test (MAP-GLRT) detector and a Maximum Likelihood GLRT (ML-GLRT) detector are proposed. The MAP-GLRT detector outperforms the ML-GLRT detector due to the prior information. The two proposed algorithms have better detection performance over the conventional detection fusion algorithm with registration errors. Simulation results verify the effectiveness of the proposed detection algorithms.
- Multistatic radar /
- Registration errors /
- Target detection

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参考文献(19)

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