首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Kernel LMS-Based Estimation Techniques for Radar Systems
【24h】

Kernel LMS-Based Estimation Techniques for Radar Systems

机译:基于核LMS的雷达系统估计技术

获取原文
获取原文并翻译 | 示例
           

摘要

Relationship between the delay and Doppler shift with the radar return is nonlinear in nature. Therefore, a nonlinear estimator based on sparse kernel least mean square algorithm is proposed. Further, an adaptive kernel width optimization technique is proposed to lower the computational complexity and for simple implementation. An expression for the Cramer-Rao lower bound is derived and validated for the proposed estimator over linear frequency modulated, and orthogonal frequency division multiplexed radar systems.
机译:延迟和多普勒频移与雷达回波之间的关系本质上是非线性的。因此,提出了一种基于稀疏核最小均方算法的非线性估计器。此外,提出了一种自适应核宽度优化技术,以降低计算复杂度并简化实现。推导了Cramer-Rao下界的表达式,并针对线性调频和正交频分复用雷达系统上的拟议估算器进行了验证。

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