共查询到19条相似文献,搜索用时 484 毫秒
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宽带波束形成是相控阵雷达数字信号处理的难点。针对目前宽带波束形成只能满足单一恒定束宽或自适应情况,为兼具两种优势使雷达工作状态更佳,文中基于最小二乘算法提出了一种自适应波束形成方法,该方法通过获得自适应参考波束图,确定波束图恒定范围根据最小二乘算法求取其他频点权值,并进行宽带波束形成。该方法不仅能保证恒定束宽,而且可实现自适应零陷控制。仿真实验证明了算法的有效性。 相似文献
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一种改进的波束形成算法 总被引:1,自引:1,他引:0
论文分析研究了最陡下降恒模算法(SDCMA)在波束形成应用中收敛稳定性好和最小二乘恒模算法(LSCMA)收敛速度快的特点,将两种算法以新的方式相结合,吸收二者的优点,提出了一种基于预解扩判决反馈盲波束形成组合算法(SD—LSCMA)。通过和传统算法在相同环境下进行MATLAB仿真比较,结果表明,文中提出的算法具有更好的抗强多址干扰性能。 相似文献
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将线性受限条件运用于最小二乘,提出了一种线性受限最小二乘恒模波束形成算法,称为LC-LSCMA,并将它与传统的最小二乘恒模波束形成算法(LSCMA)及预解扩最小二乘恒模波束形成算法(P-LSCMA)进行了仿真比较。仿真结果表明,提出的LC-LSCMA算法比LSCMA及P-LSCMA的信干比性能和误码率性能要好,特别在低信噪比情况下性能仍优于LSCMA。 相似文献
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文中基于WCDMA系统,对Rongz提出的动态最小二乘解扩重扩多目标阵列(LS-DRMTA)波束形成算法进行了分析,并提出一种静态LS-DRMTA算法。该算法指出了数据块选取的依据,保证了在算法收敛的前提下,节省系统时间和降低运算量,并且在误码率性能上和动态算法相当,适用于WCDMA系统瑞利衰落环境下的波束形成。 相似文献
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智能天线中的自适应算法又称为数字波束成形算法,其中,盲自适应算法是不需要专门的训练信号或确定信号,节省了因接收训练序列和导频信号而占用的频谱资源,提高了频谱利用率。因此,盲自适应波束形成算法受到越来越多的关注。本文主要对现有的各种盲算法原理进行逐一介绍,然后对比了各种算法的优点。 相似文献
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Super-exponential blind adaptive beamforming 总被引:2,自引:0,他引:2
Kehu Yang Ohira T. Yimin Zhang Chong-Yung Chi 《Signal Processing, IEEE Transactions on》2004,52(6):1549-1563
The objective of the beamforming with the exploitation of a sensor array is to enhance the signals of the sources from desired directions, suppress the noises and the interfering signals from other directions, and/or simultaneously provide the localization of the associated sources. In this paper, we present a higher order cumulant-based beamforming algorithm, namely, the super-exponential blind adaptive beamforming algorithm, which is extended from the super-exponential algorithm (SEA) and the inverse filter criteria (IFC). While both SEA and IFC assume noise-free conditions, this requirement is no longer needed, and all the noise components are taken into account in the proposed algorithm. Two special conditions are derived under which the proposed blind beamforming algorithm achieves the performance of the corresponding optimal nonblind beamformer in the sense of minimum mean square error (MMSE). Simulation results show that the proposed algorithm is effective and robust to diverse initial weight vectors; its performance with the use of the fourth-order cumulants is close to that of the nonblind optimal MMSE beamformer. 相似文献
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针对现有盲波束形成算法通用性差,所需采样数据量大等问题,该文提出一种基于稀疏时频分解的盲波束形成算法。算法首先将传统的短时傅里叶变换转化为稀疏重构问题,利用交替分裂Bregman算法进行迭代求解。然后利用对各阵元的接收信号进行稀疏时频分解的结果,结合聚类和不确定集方法,实现导向矢量的最优估计。最后利用MVDR算法获得最优权矢量。该算法无需利用信号统计特性,实现了高效的盲波束形成。仿真实验结果表明,该算法所需数据量小,迭代步骤易于工程实现,较现有盲波束形成算法输出性能更优,适用范围更广。 相似文献
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本文在最小二乘恒模(LSCMA)和梯度下降法(SDCMA)的基础上,提出了一种基于预解扩的判决反馈盲自适应波束形成算法,称为LS—SDCMA。本文分别在加性白高斯和多径衰落信道的环境中进行了仿真,仿真结果表明,本文提出的LS—SDCMA算法比传统的LSCMA、OCMA和SDCMA算法具有较强的抗多址干扰能力。 相似文献
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提出一种基于优化恒模算法的盲波束成形,主要针对统计梯度恒模算法的收敛速度及收敛性能进行分析。采用最优步长策略,给出一般搜索方向下步长的最优值;通过对接收信号的空间分析,对权向量作信号子空间投影优化取值;采用准牛顿法的搜索方向,确保近似海色(Hession)矩阵的正定性。仿真结果表明,优化恒模算法的盲波束成形复杂度较低,收敛准确,收敛速度快和稳定性高。 相似文献
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A new blind beamforming algorithm for signals that exhibit higher order cyclostationarity is presented. Exploiting some previous theoretical developments, we show how cyclic cumulants of the received signals can be used to obtain the weights of the beamformer that perform blind extraction. The method is based on a spatial interpretation of a deconvolution procedure known as the super-exponential algorithm. The basic block processing algorithm is made fully adaptive using an adaptive URV scheme and applied to a typical mobile communications scenario where several cochannel interferers corrupt the signals of interest 相似文献
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A new blind adaptive beamforming algorithm is introduced. We show how cumulants of the received signals can be used to obtain the weights of the beamformer that perform blind extraction. The method is based on a spatial interpretation of a deconvolution procedure known as the super-exponential algorithm. The basic block processing algorithm is attractive because it can be transformed in an efficient adaptive algorithm which exhibits good tracking capability. To prove the effectiveness of the idea, we show results for a typical mobile communications scenario where several cochannel interferers corrupt the signals of interest 相似文献
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