• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Applied Remote Sensing >Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing
【24h】

Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing

机译：多输入多输出正交频分复用雷达波形设计，用于提高时空自适应处理的检测性能

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper addresses the waveform optimization problem for improving the detection performance of multi-input multioutput (MIMO) orthogonal frequency division multiplexing (OFDM) radar-based space-time adaptive processing (STAP) in the complex environment. By maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP, which is subjected to the constant modulus constraint, is derived. To tackle the resultant nonlinear and complicated optimization issue, a diagonal loading-based method is proposed to reformulate the issue as a semidefinite programming one; thereby, this problem can be solved very efficiently. In what follows, the optimized waveform can be obtained to maximize the output SINR of MIMOOFDM such that the detection performance of STAP can be improved. The simulation results show that the proposed method can improve the output SINR detection performance considerably as compared with that of uncorrelated waveforms and the existing MIMO-based STAP method.
机译：本文解决了改善复杂环境中的多输入多输出（MIMO）正交频分复用（OFDM）雷达的空间时间自适应处理（STAP）的多输入多输出（MIMO）正交频分复用（STAP）的检测性能的波形优化问题。通过最大化输出信号到干扰和噪声比（SINR）标准，导出了用于改善恒定模数约束的STAP检测性能的波形优化问题。为了解决所产生的非线性和复杂的优化问题，提出了一种基于对角线的加载方法来将问题重新定为SEMIDEFINITE编程一个;由此，可以非常有效地解决这个问题。在下文中，可以获得优化的波形以最大化MIMOOFDM的输出SINR，使得可以提高STAP的检测性能。仿真结果表明，与不相关的波形和现有的基于MIMO的STAP方法相比，该方法可以显着提高输出SINR检测性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号