Effect of Finite Word-Length on SQNR, Area and Power for Real-Valued Serial FFT
Effect of Finite Word-Length on SQNR, Area and Power for Real-Valued Serial FFT
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DOI：
10.1109/iscas.2019.8702289
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Nanda K. Unnikrishnan;M. Garrido;K. Parhi
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文献类型：
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作者：
Nanda K. Unnikrishnan;M. Garrido;K. Parhi
DSP 系统的现代应用越来越受到严格的面积和功率要求的限制。因此，必须分析在这些要求范围内发挥作用的有效策略。本文研究了有限字长算法对实值串行 FFT 实现的信号量化噪声比 (SQNR)、功率和面积的影响。使用硬件描述语言 (HDL) 进行实验，根据经验确定与以下参数相关的权衡：(i) 输入字长，(ii) 旋转系数的字长，以及 (iii) FFT 性能 (SQNR)、功率和面积的长度。本文的结果可用于通过仔细选择字长来做出设计决策，以实现面积和功耗的减少，从而获得可接受的 SQNR 损失。
Modern applications for DSP systems are increasingly constrained by tight area and power requirements. Therefore, it is imperative to analyze effective strategies that work within these requirements. This paper studies the impact of finite word-length arithmetic on the signal to quantization noise ratio (SQNR), power and area for a real-valued serial FFT implementation. An experiment is set up using a hardware description language (HDL) to empirically determine the tradeoffs associated with the following parameters: (i) the input word-length, (ii) the word-length of the rotation coefficients, and (iii) length of the FFT on performance (SQNR), power and area. The results of this paper can be used to make design decisions by careful selection of word-length to achieve a reduction in area and power for an acceptable loss in SQNR.