|Table of Contents|

[1] Wang Jianming, Zhao Chunming,. Constrained least squares algorithm for channelvector estimation in 2-D RAKE receiver [J]. Journal of Southeast University (English Edition), 2003, 19 (1): 1-4. [doi:10.3969/j.issn.1003-7985.2003.01.001]
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Constrained least squares algorithm for channelvector estimation in 2-D RAKE receiver()
二维RAKE接收机中一种约束 最小二乘信道矢量估计算法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
19
Issue:
2003 1
Page:
1-4
Research Field:
Information and Communication Engineering
Publishing date:
2003-03-30

Info

Title:
Constrained least squares algorithm for channelvector estimation in 2-D RAKE receiver
二维RAKE接收机中一种约束 最小二乘信道矢量估计算法
Author(s):
Wang Jianming Zhao Chunming
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
王建明 赵春明
东南大学移动通信国家重点实验室, 南京 210096
Keywords:
2-D RAKE receiver channel estimation subspace decomposition constrained least squares
二维RAKE接收机 信道估计 子空间分解 约束最小二乘
PACS:
TN929.5
DOI:
10.3969/j.issn.1003-7985.2003.01.001
Abstract:
Based on the fact that the variation of the direction of arrival(DOA)is slower than that of the channel fading, the steering vector of the desired signal is estimated firstly using a subspace decomposition method and then a constrained condition is configured. Traffic signals are further employed to estimate the channel vector based on the constrained least squares criterion. We use the iterative least squares with projection(ILSP)algorithm initialized by the pilot to get the estimation. The accuracy of channel estimation and symbol detection can be progressively increased through the iteration procedure of the ILSP algorithm. Simulation results demonstrate that the proposed algorithm improves the system performance effectively compared with the conventional 2-D RAKE receiver.
针对移动通信中目标方位变化比信道衰落变化慢的特点, 首先利用子空间分解法估计出目标信号的导向矢量, 并用估计出的导向矢量构造一个约束条件, 然后用业务信号在约束最小二乘准则下估计信道矢量, 本文用带投影的迭代最小二乘(ILSP)算法求解约束最小二乘问题, 导频用于ILSP算法的初始化, 通过ILSP算法的迭代过程, 可以逐步提高信道矢量估计和符号检测的精度.仿真结果表明:与传统二维RAKE接收机相比, 本文提出的算法使系统的性能得到了有效改善.

References:

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Memo

Memo:
Biographies: Wang Jianming(1970—), male, graduate; Zhao Chunming(corresponding author), male, professor, cmzhao@seu.edu.cn.
Last Update: 2003-03-20