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Error analysis and reduction for angle calculation using the CORDIC algorithm

机译:使用CORDIC算法进行角度计算的误差分析和减少

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摘要

In this paper, we consider the errors appearing in angle computations with the CORDIC algorithm (circular and hyperbolic coordinate systems) using fixed-point arithmetic. We include errors arising not only from the finite number of iterations and the finite width of the data path, but also from the finite number of bits of the input. We show that this last contribution is significant when both operands are small and that the error is acceptable only if an input normalization stage is included, making unsatisfactory other previous proposals to reduce the error. We propose a method based on the prescaling of the input operands and a modified CORDIC recurrence and show that it is a suitable alternative to the input normalization with a smaller hardware cost. This solution can also be used in pipelined architectures with redundant carry-save arithmetic.
机译:在本文中,我们考虑了使用定点算法使用CORDIC算法(圆弧和双曲线坐标系)进行角度计算时出现的误差。我们不仅包括由于有限的迭代次数和数据路径的有限宽度而引起的错误,还包括由于输入的有限位数引起的错误。我们表明,当两个操作数都较小时,最后的贡献是显着的,并且仅当包括输入归一化阶段时,该错误才是可接受的,从而使其他先前的建议无法令人满意地减少错误。我们提出了一种基于输入操作数的预缩放和改进的CORDIC递归的方法,并证明了它是输入归一化的合适替代方法,具有较小的硬件成本。该解决方案还可用于具有冗余进位保存算法的流水线架构。

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