| 摘要: |
| 在通用计算平台上进行数字信号处理是软件无线电的发展方向之一，为大规模天线组阵的信号合成提供了新思路。针对通用计算平台上大规模天线组阵的合成问题，研究了基于任务分解原理的多天线组合成方法(MAGM)和基于数据分解原理的多信号块合成方法(MSBM)。两种方法的实时性分析结果表明，MSBM比MAGM更适用于通用计算平台。MSBM要求各信号块的合成是独立的，故提出一种SUMPLE算法的积分时段内迭代方法。仿真结果表明，该迭代方法与传统迭代方法具有同等合成性能。 |
| 关键词: 天线组阵 软件无线电 通用计算平台 任务分解 数据分解 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61271265） |
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| Parallel combining methods in large scale antenna array |
| YAN Di,SHI Youmu,LIU Yandu,ZHOU Yong,LI Zibo |
| (Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China;Xichang Satellite Launch Center,Xichang 615606,China;Xi′an Satellite Control Center,Xi′an 710043,China) |
| Abstract: |
| Digital signal processing on general-purpose computing platform is one of the development directions of software defined radio(SDR),which provides a new idea for the signal combining of large scale antenna array.In order to solve the problem of large scale antenna array signal combining on general computing platform,the multi-antenna-group method(MAGM) based on task decomposition principle and multi-signal-block method(MSBM) based on data decomposition principle are studied.The real-time analysis results of the two methods show that MSBM is more suitable for general purpose computing platforms than MAGM.MSBM requires the processing of each signal block is relatively independent.Therefore,a new iterative method of SUMPLE algorithm is proposed,which is carried out inside the integral time interval.The simulation results show that the iterative method can achieve the same combining performance. |
| Key words: antenna array software defined radio general computing platform task decomposition data decomposition |
