Simple CMA Beamforming for Multiple Sources and Direction Finding

GUO Yan; FANG Da-gang; LIANG Chang-hong; Thomas WANG

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Simple CMA Beamforming for Multiple Sources and Direction Finding

更新时间：2025-07-16

- Simple CMA Beamforming for Multiple Sources and Direction Finding
- Acta Electronica Sinica Vol. 30, Issue 6, Pages: 831-834(2002)
- 作者机构：
  
  1. 南京理工大学毫米波技术实验室,江苏,南京,210094
  2. 西安电子科技大学天线与微波国防重点实验室,陕西,西安,710071
  3. Northwestern Polytechnic University 220 Warren Ave.Fremonil Callfornia,USA,94539
  4. 南京理工大学毫米波技术实验室江苏南京,210094
  5. 西安电子科技大学天线与微波国防重点实验室陕西西安,710071
  6. Northwestern Polytechnic University 220 Warren Ave.Fremonil CallforniaUSA,94539
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：2002
- 稿件说明：
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GUO Yan, FANG Da-gang, LIANG Chang-hong, et al. Simple CMA Beamforming for Multiple Sources and Direction Finding[J]. Acta Electronica Sinica, 2002, 30(6): 831-834.
DOI：

GUO Yan, FANG Da-gang, LIANG Chang-hong, et al. Simple CMA Beamforming for Multiple Sources and Direction Finding[J]. Acta Electronica Sinica, 2002, 30(6): 831-834. DOI：

摘要

提出了一种适用于多用户的盲波束形成新方法.该方法基于最小二乘恒模算法

当最小二乘恒模算法收敛于某一信号后

我们导出了算法的权向量与其它用户波达方向的关系

进而在不同用户的波达方向上形成初始增益

从而实现对所有用户的波束形成.文中给出了算法的并行和串行实现方案.

Abstract

Blind adaptive beamforming is an elementary problem in the area of spatial signal processing.The constant modulus (CM) array is blind adaptive beamformer capable of recovering a CM signal among several cochannel sources by using constant modulus algorithm (CMA).By adding an adaptive signal canceller to the CM beamformer

identical stages of the CM array and signal canceller may be used in a multistage system to recover several cochannel CM sources.However

the implementation of the multistage CM array is complicated.In this paper

we will provide a simple multistage CM array to recover several cochannel signals based on least square CMA (LS-CMA).After the LS-CMA captures one signal

the DOA of the other signals could be attained from the weight vector of the algorithm

which is used for multi-source beamforming.The parallel and serial implementations for the algorithm are presented.Computer simulations show that the results of the new algorithm are close to those of Wiener's

which confirms the effectiveness of this new approach.

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