Ambient backscatter communication (AmBC) leverages the existing ambient radio frequency (RF) environment to implement communication with battery-free devices. One critical challenge of AmBC systems is signal recovery because the transmitted information bits are embedded in the ambient RF signals and these are unknown and uncontrollable. To address this problem, most existing approaches use averaging-based energy detectors and consequently the data rate is low and there is an error floor. Here we propose a new detection strategy based on the ratio between signals received from a multiple-antenna Reader. The advantage of using the ratio is that ambient RF signals are removed directly from the embedded signals without averaging and hence it can increase data rates and avoid the error floor. Different from original ratio detectors that use the magnitude ratio of the signals between two Reader antennas, in our proposed approach, we utilize the complex ratio so that phase information is preserved and propose an accurate linear channel model approximation. This allows the application of existing linear detection techniques from which we can obtain a minimum distance detector and closed-form expressions for bit error rate (BER). In addition, averaging, coding and interleaving can also be included to further enhance the BER. The results are also general, allowing any number of Reader antennas to be utilized in the approach. Numerical results demonstrate that the proposed approach performs better than approaches based on energy detection and original ratio detectors.
翻译:为解决这一问题,大多数现有方法使用平均能量探测器,因此数据率较低,有一层差错。在这里,我们根据从多干线读取器收到的信号之间的比例,提出了一个新的探测战略。使用该比率的好处是,环境频频信号直接从嵌入的信号中除去,而不平均,因此,它可以提高数据率和避免差错层。与使用两个读器天线之间信号的星位比的原始比率探测器不同,在我们拟议方法中,我们使用复杂的比率,以便保留阶段信息,并提出准确的线性频道模型。这使我们能够应用现有的线性探测技术,从中获取最小的距离探测器和封闭式的信号,以达到位错误率(BER)。此外,在平均、编码和内部探测器方法中,还可以增加数据率,从而避免差错层。在普通读器和内部探测器方法中,还可以使用更精确的能量探测结果。此外,还可以在普通智能和内部探测器方法中进一步显示。