浅海领域多天线阵列信号盲分离技术
发布时间：2019-05-10 06:38
【摘要】：浅海水声环境非常复杂,包含了各种各样的大量噪声干扰。根据水声检测器监测到的信号会被这些隐藏的异常信号干扰进而影响传输,同时也给有效信号的获取造成困难。盲分离技术可以模仿人的认知能力,通过不断迭代有效选择所关注的信号,被认为是解决该问题的有效途径。本文采用一种慢特性分析方法来解决浅海环境下非线性盲源分离问题,仿真实验的结果也进一步验证了本文方法的有效性,加快了收敛时间,提高效率。
[Abstract]:The shallow water acoustic environment is very complex and contains a variety of noise interference. The signals monitored by the underwater acoustic detector will be interfered by these hidden abnormal signals, which will affect the transmission and make the acquisition of the effective signals difficult at the same time. Blind separation technology can imitate the cognitive ability of human, and choose the concerned signal effectively through continuous iteration, which is considered to be an effective way to solve this problem. In this paper, a slow characteristic analysis method is used to solve the problem of nonlinear blind source separation in shallow water environment. The simulation results further verify the effectiveness of the proposed method, accelerate the convergence time and improve the efficiency.
【作者单位】： 重庆电子工程职业学院通信工程学院;
【基金】：重庆市教育委员会科学技术研究项目(KJ132206)
【分类号】：TB56
本文编号：2473420
[Abstract]:The shallow water acoustic environment is very complex and contains a variety of noise interference. The signals monitored by the underwater acoustic detector will be interfered by these hidden abnormal signals, which will affect the transmission and make the acquisition of the effective signals difficult at the same time. Blind separation technology can imitate the cognitive ability of human, and choose the concerned signal effectively through continuous iteration, which is considered to be an effective way to solve this problem. In this paper, a slow characteristic analysis method is used to solve the problem of nonlinear blind source separation in shallow water environment. The simulation results further verify the effectiveness of the proposed method, accelerate the convergence time and improve the efficiency.
【作者单位】： 重庆电子工程职业学院通信工程学院;
【基金】：重庆市教育委员会科学技术研究项目(KJ132206)
【分类号】：TB56
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