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本文提出两种改进的基于软判决导向的最小平方均衡法。一种采用横向结构，另一种采用格式结构。这两种均衡算法的判决误差形式不同于一般的判决误差形式，它们的表达式是一种更为复杂的连续函数形式。通过计算机仿真，我们发现，采用横向结构的这种改进算法无论对于最小相位还是非最小相位信道的均衡均有较好的性能，而采用格形结构的这种改进算法的性能在非最小相位信道下的性能反而不如传统的格形算法。
This paper presents two improved methods based on soft-decision-oriented least squares. One uses a horizontal structure and the other uses a format structure. The two types of equalization algorithms have different forms of decision errors from the common forms of decision errors, and their expressions are a more complex form of continuous functions. Through computer simulation, we find that this improved algorithm with horizontal structure has better performance in both equal-phase and non-minimum phase channel equalization, and the performance of this improved algorithm with lattice structure is better than that of non-minimum phase channel Under the performance but not as good as the traditional grid algorithm.