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Compressive Sensing Measurement Matrix Generator Based on Improved SC-Array LDPC Code

机译:基于改进的SC阵列LDPC码的压缩感知测量矩阵生成器

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摘要

We construct and implement a compressive sensing measurement matrix based on improved size-compatible (ISC)-array low-density parity-check (LDPC) code. First, we propose an improved measurement matrix from the array LDPC code matrix. The proposed measurement matrix retains suitable quasi-cyclic structures and supports arbitrary code lengths. It also achieves a high perfect recovery percentage compared with a Gaussian random matrix of the same size. Second, we propose a hardware scheme using cycle shift registers to design the compressive sensing measurement matrix generator. This provides simple circuit architecture during the generation of the measurement matrix. According to simulation verifications, the measurement matrix construction method is effective and entails fewer shift registers and a lower area overhead by using a simplified hardware implementation scheme. The compressive sensing measurement matrix generator can generate all of the required elements in the ISC-array LDPC code matrix with an acceptable hardware overhead. Therefore, it can be widely applied to large-scale sparse signal compressive sensing.
机译:我们基于改进的尺寸兼容(ISC)阵列低密度奇偶校验(LDPC)代码构造和实现压缩感测测量矩阵。首先,我们从阵列LDPC码矩阵中提出了一种改进的测量矩阵。所提出的测量矩阵保留了合适的准循环结构并支持任意代码长度。与相同大小的高斯随机矩阵相比,它还可以实现较高的完美恢复百分比。其次,我们提出了一种使用周期移位寄存器的硬件方案来设计压缩感测测量矩阵生成器。这在生成测量矩阵期间提供了简单的电路架构。根据仿真验证,测量矩阵的构造方法是有效的,并且通过使用简化的硬件实现方案,需要更少的移位寄存器和更低的面积开销。压缩感测测量矩阵生成器可以以可接受的硬件开销生成ISC阵列LDPC码矩阵中的所有必需元素。因此,可以广泛应用于大规模的稀疏信号压缩传感。

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