Application of Gram-Schmidt algorithm to fully adaptive arrays

Liu H.; Ghafoor A.

首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Application of Gram-Schmidt algorithm to fully adaptive arrays

【24h】

Application of Gram-Schmidt algorithm to fully adaptive arrays

机译：Gram-Schmidt算法在完全自适应阵列中的应用

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The Gram-Schmidt orthogonalization (GSO) algorithm has excellent numerical performance and is readily applicable to systolic implementations such as in a field of adaptive cancellation systems. A modified GSO algorithm for a fully adaptive array is proposed and computer simulations show that the proposed algorithm gives superior performance. A systolic implementation of the proposed GSO algorithm for fully adaptive array is presented. A feedback mode GSO algorithm for use with analog weights is also presented and has been shown to have excellent performance in the presence of weight errors.

机译：Gram-Schmidt正交化（GSO）算法具有出色的数值性能，并且很容易应用于诸如自适应抵消系统领域之类的收缩实现。提出了一种用于全自适应阵列的改进型GSO算法，计算机仿真表明该算法具有优越的性能。提出了针对完全自适应阵列的GSO算法的脉动实现。还提出了一种用于模拟权重的反馈模式GSO算法，并已证明在存在权重误差的情况下具有出色的性能。

著录项

来源
《IEEE Transactions on Aerospace and Electronic Systems》 |1992年第2期|P.324-334|共11页
作者
Liu H.; Ghafoor A.;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类航空;
关键词

相似文献

外文文献
中文文献
专利

1. On the performance of adaptive Gram-Schmidt algorithm for interference cancelling arrays [J] . Ko C.C. IEEE Transactions on Antennas and Propagation . 1991,第4期

机译：自适应Gram-Schmidt算法消除干扰阵列的性能
2. Adaptive Optimization of Least-Squares Tracking Algorithms: With Applications to Adaptive Antenna Arrays for Randomly Time-Varying Mobile Communications Systems [J] . Robert Buche, Harold J. Kushner IEEE Transactions on Automatic Control . 2005,第11期

机译：最小二乘跟踪算法的自适应优化：应用于随时间变化的移动通信系统的自适应天线阵列
3. Convergence properties of Gram-Schmidt and SMI adaptive algorithms. II [J] . Gerlach K., Kretschmer F.F. Jr. IEEE Transactions on Aerospace and Electronic Systems . 1991,第1期

机译：Gram-Schmidt和SMI自适应算法的收敛性。 II
4. Stochastic Approximation for Adapting Weighted Least-Squares Algorithms: Applications in Wireless Adaptive Antenna Arrays with Time-Varying Channels and Periodically Blind Signaling [C] . Robert T. Buche American Control Conference . 2005

机译：用于调整加权最小二乘算法的随机逼近：在无线自适应天线阵列中的应用，具有时变信道和周期性盲信令
5. Robust adaptive filtering algorithms for system identification and array signal processing in non-Gaussian environment [D] . Shao, Tiange 2011

机译：非高斯环境中用于系统识别和阵列信号处理的鲁棒自适应滤波算法
6. An SDR-Based Real-Time Testbed for GNSS Adaptive Array Anti-Jamming Algorithms Accelerated by GPU [O] . Hailong Xu, Xiaowei Cui, Mingquan Lu 2016

机译：GPU加速的基于SDR的GNSS自适应阵列抗干扰算法的实时测试平台
7. Convergence properties of Gram-Schmidt and SMI adaptive algorithms [O] . K. Gerlach, F.F. Kretschmer 1990

机译：Gram-Schmidt和SMI自适应算法的收敛性质
8. Adaptive Optimization of Least Squares Tracking Algorithms: With Applications to Adaptive Antenna Arrays for Randomly Time-Varying Mobile Communications Systems [R] . Buche, R. , Kushner, H. J. 2003

机译：最小二乘跟踪算法的自适应优化：随机时变移动通信系统在自适应天线阵中的应用

Application of Gram-Schmidt algorithm to fully adaptive arrays

摘要

著录项

相似文献

相关主题

期刊订阅