| MIMO雷达收发两级STAP 原理与性能讨论 |
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| 引用本文： | 孙国皓,何子述,张伟,张炜.MIMO雷达收发两级STAP 原理与性能讨论[J].现代雷达,2018,40(9):40-46. |
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| 作者姓名： | 孙国皓 何子述 张伟 张炜 |
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| 作者单位： | 电子科技大学信息与通信工程学院,电子科技大学信息与通信工程学院,电子科技大学信息与通信工程学院,电子信息控制重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目(61671139);国家自然科学基金资助项目(61401062);电子信息控制重点实验室基金资助项目 |
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| 摘 要： | 提出了一种基于多输入多输出雷达的收发两级空时自适应处理(STAP)算法。收发两级STAP 与收发联合STAP 不同在于:分别对等效发射端与接收端进行空时处理,从而达到降低运算量效果。文中给出收发两级STAP 所构造的协方差矩阵与收发联合STAP 协方差矩阵关系,并且给出输出信杂噪比(SCNR)表达式。从仿真结果看,收发两级法SCNR 性能与收发联合STAP 相近,且计算量有明显降低。此外,收发两级STAP 也可应用到收发联合降维算法中,得到与收发联合降维算法一样的性能,且运算量进一步降低。
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| 关 键 词： | 多输入多输出雷达 空时自适应处理 收发两级法 降维算法 |
Discussion on the Principle and Performance of Transmitter-receiver-two-state MIMO Radar STAP |
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| SUN Guohao,HE Zishu,ZHANG Wei and ZHANG Wei.Discussion on the Principle and Performance of Transmitter-receiver-two-state MIMO Radar STAP[J].Modern Radar,2018,40(9):40-46. |
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| Authors: | SUN Guohao HE Zishu ZHANG Wei and ZHANG Wei |
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| Affiliation: | School of Information and Communication Engineering, University of Electronic Science and Technology of China,School of Information and Communication Engineering, University of Electronic Science and Technology of China,School of Information and Communication Engineering, University of Electronic Science and Technology of China and Science and Technology on Electronic Information Control Laboratory |
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| Abstract: | A transmitter-receiver-two-stage space time adaptive processing ( STAP) for multiple input multiple output ( MIMO) radar is proposed in this paper. The different between transmitter-receiver-two-stage STAP and transmitter-receiver-joint STAP is that solving equivalent transmitters and receiver data respectively, in order to reduce the amount of computation. A relationship between two-stage STAP covariance and joint STAP is given, and an analytical expression for signal-clutter-noise ratio ( SCNR) is derived in this paper. From simulation results, the two-stage STAP has a similar performance with transmitter-receiver-joint STAP, and reduces computation. Furthermore, the two-step STAP can be used in the traditional reduced dimension algorithms to obtain less calculation. |
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| Keywords: | multiple input multiple output radar space time adaptive processing two-stage algorithm reduce dimension algorithm |
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