| 一种改进的随机梯度恒模波束形成算法 |
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| 引用本文： | 梅本春,唐斌,张中仅. 一种改进的随机梯度恒模波束形成算法[J]. 无线电工程, 2010, 40(9): 13-14,51 |
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| 作者姓名： | 梅本春 唐斌 张中仅 |
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| 作者单位： | 电子科技大学,电子工程学院,四川,成都,611731 |
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| 摘 要： | 对随机梯度恒模算法已有的递推公式进行了分析,提出了一种收敛性能更好、合成增益更大的改进型随机梯度恒模波束形成算法。该算法针对已有误差函数的不足进行改进,以各阵元接收信号的模之和作为合成期望值,进而可克服信号模的波动性,增大算法的适用范围及抗噪性能。建立了任意阵的信号模型,基于均匀线阵对改进前后的算法进行仿真比较。仿真结果证实了改进算法的有效性及其在收敛性能、合成增益上的改善。
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| 关 键 词： | 随机梯度恒模算法 波束形成 误差函数 均匀线阵 |
An Improved Stochastic Gradient Constant Modulus Algorithm for Beam-forming |
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| MEI Ben-chun,TANG Bin,ZHANG Zhong-jin. An Improved Stochastic Gradient Constant Modulus Algorithm for Beam-forming[J]. Radio Engineering of China, 2010, 40(9): 13-14,51 |
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| Authors: | MEI Ben-chun TANG Bin ZHANG Zhong-jin |
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| Affiliation: | (School of Electronic Engineering, UEST of China, Chengdu Sichuan 611731, China) |
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| Abstract: | The paper analyzes the existing recursion formulas of SG-CMA, presents an improved SG-CMA with better convergence and stronger beam-forming gain. Considering the disadvantages of existing error functions, the algorithm makes some changes. It lakes the sum of the signal mode of each element as the expected value, which overcomes the fluctuation of signal mode, and increases the a]pplication range and anti-noise capability. The signal model of an arbitrary array is built, then the SG-CMA and the improved SG-CMA al＂e compared by simulation based on uniform linear array. The simulation results verify the effectiveness of the improved SG-CMA as well as its improvement on convergence and beam-forming gain. |
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| Keywords: | stochastic gradient constant modulus algorithm beam-forming error function uniform linear array |
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