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传统CORDIC算法需要通过查找表和许多乘法器才能实现多种复杂函数的计算,这会导致硬件电路实现复杂,运算速度降低。在向量模式下提出一种改进型CORDIC算法,它不需要查找表和模校正因子,只需通过简单的移位和加减运算就能实现多种复杂函数的计算,从而能够减少硬件的开销,提高运算的性能。最后将该算法应用于QR-RLS自适应均衡算法的Givens旋转中,完成了输入数据矩阵的QR分解,实现了自适应均衡的效果。
The traditional CORDIC algorithm needs a lot of complicated functions to be calculated through look-up table and many multipliers, which leads to the complexity of hardware circuit and the decrease of operation speed. In vector mode, an improved CORDIC algorithm is proposed. It does not need look-up table and modulo correction factor. It only needs a simple shift and addition and subtraction operation to calculate a variety of complex functions, which can reduce the hardware overhead, Improve computing performance. Finally, the algorithm is applied to the Givens rotation of the QR-RLS adaptive equalization algorithm to complete the QR decomposition of the input data matrix and achieve the effect of adaptive equalization.