...
首页> 外文期刊>Signal Processing, IEEE Transactions on >Enhanced Illumination Sensing Using Multiple Harmonics for LED Lighting Systems
【24h】

Enhanced Illumination Sensing Using Multiple Harmonics for LED Lighting Systems

机译:使用多种谐波的LED照明系统增强的照明感应

获取原文
获取原文并翻译 | 示例
           

摘要

This paper considers frequency division multiplexing (FDM) based illumination sensing in light emitting diode (LED) lighting systems. The purpose of illumination sensing is to identify the illumination contributions of spatially distributed LEDs at a sensor location, within a limited response time. In the FDM scheme, LEDs render periodical illumination pulse trains at different frequencies with prescribed duty cycles. The problem of interest is to estimate the amplitudes of the individual illumination pulse trains. In our previous work, an estimation approach was proposed using the fundamental frequency component of the sensor signal. The number of LEDs that can be supported by this estimation approach is limited to around 100 LEDs at a response time of 0.1 s. For future LED lighting systems, however, it is desirable to support many more LEDs. To this end, in this paper, we seek to exploit multiple harmonics in the sensor signal. We first derive upper limits on the number of LEDs that can be supported in the presence of frequency offsets and noise. Thereafter, we propose a low complexity successive estimation approach that effectively exploits the multiple harmonics. It is shown that the number of the LEDs can be increased by a factor of at least five, compared to the estimation approach using only the fundamental frequency component, at the same estimation error.
机译:本文考虑了发光二极管(LED)照明系统中基于频分复用(FDM)的照明感应。照明感测的目的是在有限的响应时间内识别传感器位置处空间分布的LED的照明贡献。在FDM方案中,LED以规定的占空比以不同的频率呈现周期性的照明脉冲序列。感兴趣的问题是估计各个照明脉冲串的幅度。在我们以前的工作中,提出了一种使用传感器信号的基频分量的估计方法。该估计方法可以支持的LED数量在响应时间为0.1 s时限制为大约100个LED。但是,对于未来的LED照明系统,希望支持更多的LED。为此,在本文中,我们试图利用传感器信号中的多个谐波。我们首先得出存在频偏和噪声时可以支持的LED数量的上限。此后,我们提出了一种有效利用多重谐波的低复杂度连续估计方法。结果表明,与仅使用基频分量的估计方法相比,在相同的估计误差下,LED的数量可以增加至少五倍。

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