...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Sensors Journal, IEEE >Particle Filtering for Acoustic Source Tracking in Impulsive Noise With Alpha-Stable Process
【24h】

Particle Filtering for Acoustic Source Tracking in Impulsive Noise With Alpha-Stable Process

机译：阿尔法稳定过程中脉冲噪声中声源跟踪的粒子滤波

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

NonGaussian impulsive noises distort the source signal and cause problems for direction of arrival (DOA) estimation of an acoustic source. In this paper, a Bayesian framework and its particle filtering (PF) implementation for DOA tracking in the presence of complex symmetric alpha-stable noise process are developed. A constant velocity model is employed to model the source dynamics, and spatial spectra are exploited to formulate a pseudo likelihood of particles. Since the second-order statistics of alpha-stable processes do not exist, the fractional lower order moment matrix of the received data is used to replace the covariance matrix in calculating the spatial spectra. The noise usually spreads and distorts the mainlobe of the likelihood function and the particles cannot be weighted accurately. Hence, the likelihood function is exponentially weighted to emphasize the particles in a high likelihood area and thus enhance the resampling efficiency. The performance of the proposed tracking algorithm is extensively studied under simulated alpha-stable noise environments. The results show that the proposed algorithm significantly outperforms the existing PF tracking approach and the traditional localization approaches in DOA estimation.
机译：非高斯脉冲噪声会使源信号失真，并给声源的到达方向（DOA）估计带来问题。本文提出了一种贝叶斯框架及其在复杂对称α-稳定噪声过程中用于DOA跟踪的粒子滤波（PF）实现。采用恒速模型对源动力学进行建模，并利用空间光谱来制定粒子的伪似然性。由于不存在阿尔法稳定过程的二阶统计量，因此在计算空间光谱时，将接收数据的分数低阶矩矩阵用于替换协方差矩阵。噪声通常会扩散或扭曲似然函数的主瓣，并且粒子无法准确加权。因此，对似然函数进行指数加权，以强调高似然区域中的粒子，从而提高重采样效率。在模拟的α稳定噪声环境下，对所提出的跟踪算法的性能进行了广泛的研究。结果表明，该算法在DOA估计中明显优于现有的PF跟踪方法和传统的定位方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号