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FPGA implementation of a channel noise canceller for image transmission

机译:用于图像传输的通道噪声消除器的FPGA实现

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An FPGA-based channel noise canceller using a fixed-point standard-LMS algorithm for image transmission is proposed. The proposed core is designed in VHDL93 language as basis of FIR adaptive filter. The proposed model uses 12-bits word-length for digital input data while internal computations are based on 17-bits word-length because of considering guard bits to prevent overflow. The designed core is FPGA-brand-independent, thus can be implemented on any brand to create a system-on-programmable-chip (SoPC). In this paper, XILINX SPARTAN3E and VIRTEX4 FPGA series are used as implementation platform. A discussion is made on DSP, Hardware/Software co-design and pure-hardware implementations. Although using a pure-hardware implementation results in better performance, it is more complex than other structures. Results obtained show improvements in area-resource utilization, convergence speed and performance in the designed pure-hardware channel noise canceller core.
机译:提出了一种采用定点标准LMS算法的基于FPGA的通道噪声消除器。拟议的内核以VHDL93语言设计,作为FIR自适应滤波器的基础。所提出的模型将12位字长用于数字输入数据,而内部计算则基于17位字长,这是因为考虑了保护位以防止溢出。设计的内核与FPGA品牌无关,因此可以在任何品牌上实施,以创建可编程芯片系统(SoPC)。本文将XILINX SPARTAN3E和VIRTEX4 FPGA系列用作实现平台。讨论了DSP,硬件/软件协同设计和纯硬件实现。尽管使用纯硬件实现可获得更好的性能,但它比其他结构更为复杂。获得的结果表明,在设计的纯硬件通道噪声消除器内核中,区域资源利用率,收敛速度和性能都有改善。

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