A Blind Algorithm for Channel Order Estimation Based on Equalization Cost Function

CUI Bo; LIU Lu; LI Xiang-yu; JIN Liang

doi:10.3969/j.issn.0372-2112.2015.12.008

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A Blind Algorithm for Channel Order Estimation Based on Equalization Cost Function

更新时间：2025-07-16

- A Blind Algorithm for Channel Order Estimation Based on Equalization Cost Function
- Acta Electronica Sinica Vol. 43, Issue 12, Pages: 2394-2401(2015)
- 作者机构：
  
  国家数字交换系统工程技术研究中心,河南,郑州,450002
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61171108)
- DOI：10.3969/j.issn.0372-2112.2015.12.008
  CLC： TN911
- Published：2015
- 稿件说明：
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CUI Bo, LIU Lu, LI Xiang-yu, et al. A Blind Algorithm for Channel Order Estimation Based on Equalization Cost Function[J]. Acta Electronica Sinica, 2015, 43(12): 2394-2401.
DOI：

CUI Bo, LIU Lu, LI Xiang-yu, et al. A Blind Algorithm for Channel Order Estimation Based on Equalization Cost Function[J]. Acta Electronica Sinica, 2015, 43(12): 2394-2401. DOI： 10.3969/j.issn.0372-2112.2015.12.008.

摘要

针对信道阶数估计问题

利用单输入多输出(Single-Input Multiple-Output

SIMO)有限冲激响应(Finite Impulse Response

FIR)信道的结构特点和输入/输出信号的统计特征

提出了一种基于均衡代价函数的信道阶数盲估计算法.首先计算了归一化最小二乘均衡(Normalized Least Squares Equalization

NLSE)代价函数在理想条件下的理论渐近值

并指出其拐点与信道阶数之间的对应关系.然后分析了NLSE代价函数在实际条件下的近似值.最后引入了拐点优化因子

提出了一种基于NLSE代价函数拐点检测的信道阶数估计算法.理论分析和仿真结果表明

在信噪比(Signal-to-Noise Ratio

SNR)较低和信道首尾系数较小的情况下

该算法比现有其它方法具有更强的鲁棒性

可以获得更小的接收信号均衡误差.

Abstract

Addressing the problem of channel order estimation

a blind algorithm for channel order estimation is proposed based on the equalization cost function

which utilizes the architecture of single-input multiple-output (SIMO) finite impulse response (FIR) channels and the statistical characteristic of input/output signals.First

the theoretical asymptotic value of normalized least squares equalization (NLSE) cost function is calculated under the ideal condition

and the link between its corner and channel order is pointed out.Then

its approximate value is analyzed under the practical condition.Finally

a corner optimization factor is introduced

and a channel order estimation algorithm is proposed by examining the NLSE cost function corner.Theoretical analysis and simulation results show that the algorithm is more robust than the other existing techniques in the case of low signal-to-noise ratio (SNR) and small leading/trailing channel coefficients

which leads to smaller equalization error.

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