Abstract
Android-based oscilloscopes have been developed for research and education purpose because they would be able to acquire, transmit, display and analyze any electrical signals and be mobile, operable easily. Due to the speed limitation of wireless transmission channel, Android Oscilloscopes have some limited performances such as bandwidth, waveform capturing rate (WCR) and so on. In this paper, we propose a real-time lossless data compression scheme to solve a bottleneck of continuous data flow from DAQ to smartphone. This compression scheme consists of triggering a signal and encoding differences between waveforms. Also, an advanced structure of Android Bluetooth Oscilloscope is proposed to implement the proposed compression algorithm with FPGA-based hardware and software. To evaluate WCR improvement, we firstly analyze relationship between WCR and compression ratio. And then the compression efficiency is verified by the MATLAB simulations using various waveforms such as simple sinusoidal, complex periodic, square, chirp waveforms. We finally study robustness of this instrument in the range of 0~15% noise amplitude and 0~2rad phase offset. All experimental results show that proposed scheme can enhance WCR and also be applied to the wireless transmission fields collecting and displaying electrical waveforms.
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