基于D-PL混沌模型的数字电子系统BIST的ATPG

Min Zhu, Yu Chen, Chunling Yang, Dong-yang Zhao
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引用次数: 2

摘要

提出了一种D-PL (Digital-PL)混沌模型来构建内建自测的自动测试模式生成(ATPG)。D-PL混沌模型是对传统连续PL混沌模型的改进。传统的PL混沌离散处理采用2的幂系数。这种方式有利于硬件的实现。采用移位寄存器和累加器实现迭代,避免直接使用乘法器。通过参数优化,将D-PL混沌模型ATPG应用于数字电路测试。实验结果表明,所提出的D-PL混沌模型具有良好的随机性和遍历性。D-PL模型的检验模式无相关性。该方法可以有效地提高数字电路的故障检出率。
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ATPG of Digital Electronic Systems BIST Based on D-PL Chaotic Model
A D-PL ( Digital-PL) chaotic model was proposed to construct ATPG (Automatic Test Pattern Generation) of BIST (Built in Self Test) in this paper. The D-PL chaotic model is improvement of the traditional continuous PL chaotic model. The coefficient of power of 2 was used for traditional PL chaos discrete processing. This approach is conducive to the realization of hardware. Shift registers and accumulator adopted to implement iteration avoiding the direct use of the multiplier. This method can effectively reduce the circuits area After parameters optimization, the D-PL chaotic model ATPG was applied for testing digital circuits. Experiment results show that the proposed D-PL chaotic model ATPG has good randomness and ergodicity. The test pattern of D-PL Model has no correlation. It can effectively improve the digital circuits fault detection rate in BIST.
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