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Clock-Offset Tracking Software Algorithms For IR-UWB Energy-Detection Receivers

机译:IR-UWB能量检测接收器的时钟偏移跟踪软件算法

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We present a clock-offset tracking algorithm for impulse-radio ultra-wide band (IR-UWB) energy-detection receivers. There is a complexity versus performance trade-off for the design of IR-UWB energy-detection receivers: Extremely low-complexity energy-detection receivers are built with a large, constant integration duration; they are robust to clock drifts but are sensitive to noise enhancement effects and cannot adapt to channel variations. More sophisticated energy-detection receivers use a shorter integration duration and combine several weighted outputs of the energy collector; they are robust to noise enhancement effects, can adapt to channel variations and offer a much better performance than non-adaptive receivers. However, they become sensitive to clock offsets. Hence, there is a need for low-complexity clock-offset tracking solutions to support adaptive energy-detection receivers. Our solution is constructed around the Radon transform, an image processing tool traditionally used to detect line features in images. Our solution is fully compatible with the IEEE 802.15.4a standard, does not increase the hardware complexity of the receiver and reduces the performance loss due to clock offset to less than 0.5dB.
机译:我们介绍了一种用于脉冲无线电超宽带(IR-UWB)能量检测接收器的时钟偏移跟踪算法。对于IR-UWB能量检测接收机的设计,具有复杂性与性能权衡:极其低复杂度能量检测接收器,具有大,恒定的集成持续时间;它们对时钟漂移是强大的,但对噪声增强效应敏感,并且不能适应通道变化。更复杂的能量检测接收器使用较短的集成持续时间,并结合电能收集器的多个加权输出;它们对噪声增强效应具有稳健性,可以适应信道变化,并且提供比非自适应接收器更好的性能。但是,它们对时钟偏移变得敏感。因此,需要低复杂性时钟偏移跟踪解决方案以支持自适应能量检测接收器。我们的解决方案围绕氡变换构造,一种传统上用于检测图像中的线特征的图像处理工具。我们的解决方案与IEEE 802.15.4a标准完全兼容,不会提高接收器的硬件复杂性,并降低由于时钟偏移量为小于0.5dB的性能损耗。

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