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应用科学学报

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最优步长的线性约束共轭梯度常模盲多用户检测

潘子宇1 2，酆广增1，王欣1   

  1. 1.南京邮电大学 通信与信息工程学院，江苏 南京 210003;
    2.南京工程学院 通信工程学院，江苏 南京 211167
  • 收稿日期:2007-08-07 修回日期:2007-12-24 出版日期:2008-05-31 发布日期:2008-05-31

Multi-user Blind Detection Based on Optimum Step Size with Linear Constraint and Conjugate Gradient Constant Modulus

PAN Zi-yu1 2, FENG Guang-zeng1, WANG Xin1
  

  1. 1.Communication and Information Engineering Institute，Nanjing University of Posts & Telecommunications, Nanjing 210003, China;
    2.Department of Communication Engineering,Nanjing Institute of Technology,Nanjing 211167,China
  • Received:2007-08-07 Revised:2007-12-24 Online:2008-05-31 Published:2008-05-31

被引次数

4

摘要： 克服多址干扰对CDMA系统的影响，该文研究了CDMA下行链路中的多用户检测问题，提出了一种新的盲检测算法，即最优自适应步长的线性约束共轭梯度常模算法（M-LCCGCMA）。该算法采用最优自适应步长的方法对算法进行优化，并推导出步长的解析形式。在加性白高斯噪声和多径衰落信道环境中的仿真结果表明，该算法的信干比性能和误码率性能均比现有的自适应步长常模算法要好。

关键词: 线性约束, 共轭梯度, 常模算法, 最优自适应步长

Abstract:

This paper studies multi-user detection for CDMA downlink and proposes a new approach for blind detection to overcome multi-access interference (MAI) in CDMA systems. The method is called linear constraint conjugate gradient constant modulus algorithm based on adaptive step size. The best step size is used to achieve optimization. An analytical form is obtained. Simulations for additive white Gaussian channel and multi-path fading channel environments show that the proposed technique can provide SIR and BER improvement with respect to other adaptive step size CMA.

Key words:

linear constraint, conjugate gradient, constant modulus algorithm, optimum step size