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A soft decoding algorithm and hardware implementation for the visual prosthesis based on high order soft demodulation

机译:基于高阶软解调的视觉假体软解码算法及硬件实现

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摘要

BackgroundHigh order modulation and demodulation technology can solve the frequency requirement between the wireless energy transmission and data communication. In order to achieve reliable wireless data communication based on high order modulation technology for visual prosthesis, this work proposed a Reed–Solomon (RS) error correcting code (ECC) circuit on the basis of differential amplitude and phase shift keying (DAPSK) soft demodulation. Firstly, recognizing the weakness of the traditional DAPSK soft demodulation algorithm based on division that is complex for hardware implementation, an improved phase soft demodulation algorithm for visual prosthesis to reduce the hardware complexity is put forward. Based on this new algorithm, an improved RS soft decoding method is hence proposed. In this new decoding method, the combination of Chase algorithm and hard decoding algorithms is used to achieve soft decoding. In order to meet the requirements of implantable visual prosthesis, the method to calculate reliability of symbol-level based on multiplication of bit reliability is derived, which reduces the testing vectors number of Chase algorithm. The proposed algorithms are verified by MATLAB simulation and FPGA experimental results. During MATLAB simulation, the biological channel attenuation property model is added into the ECC circuit.
机译:背景技术高阶调制解调技术可以解决无线能量传输和数据通信之间的频率需求。为了实现用于视觉假体的基于高阶调制技术的可靠无线数据通信,本文提出了一种基于差分幅度和相移键控(DAPSK)软解调的里德-所罗门(RS)纠错码(ECC)电路。首先,认识到传统的基于分区的DAPSK软解调算法在硬件实现上的复杂性,提出了一种改进的用于视觉修复的相位软解调算法,以降低硬件的复杂度。基于这种新算法,提出了一种改进的RS软解码方法。在这种新的解码方法中,将Chase算法和硬解码算法结合使用来实现软解码。为了满足植入式假体的要求,推导了基于位可靠性乘积的符号级可靠性计算方法,减少了Chase算法的测试向量数量。 MATLAB仿真和FPGA实验结果验证了所提算法的有效性。在MATLAB仿真期间,将生物通道衰减特性模型添加到ECC电路中。

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