FPGA Implementation of 8, 16 and 32 Bit LFSR with Maximum Length Feedback Polynomial Using VHDL

A. K. Panda, P. Rajput, B. Shukla
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引用次数: 80

Abstract

LFSR based PN Sequence Generator technique is used for various cryptography applications and for designing encoder, decoder in different communication channel. It is more important to test and verify by implementing on any hardware for getting better efficient result. As FPGAs is used to implement any logical function for faster prototype development, it is necessary to implement the existing design of LFSR on FPGA to test and verify the simulated & synthesis result between different lengths. The total number of random state generated on LFSR depends on the feedback polynomial. As it is simple counter so it can count maximum of 2n-1 by using maximum feedback polynomial. Here in this paper we implemented 8, 16 and 32-bit LFSR on FPGA by using VHDL to study the performance and analysis the behavior of randomness. The analysis is conceded out to find number of gates, memory and speed requirement in FPGA as the number of bits is increased. The comparative study of 8, 16 and 32 bit LFSR on FPGA is shown here to understand the on chip verification. Also the simulation problem for long bit LFSR on FPGA is presented.
基于VHDL的8、16和32位最大长度反馈多项式LFSR的FPGA实现
基于LFSR的PN序列发生器技术可用于各种密码学应用以及不同通信信道下编解码器的设计。为了获得更高效的结果,更重要的是通过在任何硬件上实现测试和验证。由于FPGA可以实现任何逻辑功能,为了更快地开发原型,有必要在FPGA上实现现有的LFSR设计,以测试和验证不同长度之间的仿真和合成结果。LFSR产生的随机状态总数取决于反馈多项式。由于它是一个简单的计数器,所以它可以通过使用最大反馈多项式来计数2n-1的最大值。本文采用VHDL语言在FPGA上实现了8位、16位和32位的LFSR,对其性能和随机性行为进行了研究和分析。通过分析,找出了随着比特数的增加,FPGA对门数、内存和速度的要求。这里展示了8位、16位和32位LFSR在FPGA上的对比研究,以了解片上验证。并给出了长位LFSR在FPGA上的仿真问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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